Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c116' (ED25519) to the list of known hosts. You can reproduce this build on your computer by running: sudo dnf install copr-rpmbuild /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/8174696-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64 Version: 1.1 PID: 7039 Logging PID: 7040 Task: {'allow_user_ssh': False, 'appstream': False, 'background': False, 'build_id': 8174696, 'buildroot_pkgs': [], 'chroot': 'fedora-rawhide-x86_64', 'enable_net': True, 'fedora_review': False, 'git_hash': 'aa3924bfa7c7761abfada40250330eb02e15e8bf', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/sailer/ML/litert', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'litert', 'package_version': '2.17.0-1', 'project_dirname': 'ML', 'project_name': 'ML', 'project_owner': 'sailer', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/sailer/ML/fedora-rawhide-x86_64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}], 'sandbox': 'sailer/ML--sailer', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'storage': 0, 'submitter': 'sailer', 'tags': [], 'task_id': '8174696-fedora-rawhide-x86_64', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/sailer/ML/litert /var/lib/copr-rpmbuild/workspace/workdir-7rtcpajr/litert --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/sailer/ML/litert', '/var/lib/copr-rpmbuild/workspace/workdir-7rtcpajr/litert', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-7rtcpajr/litert'... Running: git checkout aa3924bfa7c7761abfada40250330eb02e15e8bf -- cmd: ['git', 'checkout', 'aa3924bfa7c7761abfada40250330eb02e15e8bf', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-7rtcpajr/litert rc: 0 stdout: stderr: Note: switching to 'aa3924bfa7c7761abfada40250330eb02e15e8bf'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by switching back to a branch. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -c with the switch command. Example: git switch -c Or undo this operation with: git switch - Turn off this advice by setting config variable advice.detachedHead to false HEAD is now at aa3924b automatic import of litert Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-7rtcpajr/litert rc: 0 stdout: stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD INFO: Reading stdout from command: git rev-parse HEAD INFO: Reading sources specification file: sources INFO: Downloading tensorflow-2.17.0.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o tensorflow-2.17.0.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/sailer/ML/litert/tensorflow-2.17.0.tar.gz/md5/8771ec0e129b7841ab0683daafebb454/tensorflow-2.17.0.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 72.0M 100 72.0M 0 0 21.3M 0 0:00:03 0:00:03 --:--:-- 21.3M INFO: Reading stdout from command: md5sum tensorflow-2.17.0.tar.gz /usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-7rtcpajr/litert/litert.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-7rtcpajr/litert --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1729849887.521630 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 5.9 starting (python version = 3.12.1, NVR = mock-5.9-1.fc39), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-7rtcpajr/litert/litert.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-7rtcpajr/litert --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1729849887.521630 -r /var/lib/copr-rpmbuild/results/configs/child.cfg Start(bootstrap): init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish(bootstrap): init plugins Start: init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish: init plugins INFO: Signal handler active Start: run INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-7rtcpajr/litert/litert.spec) Config(fedora-rawhide-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 5.9 INFO: Mock Version: 5.9 Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1729849887.521630/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata INFO: Guessed host environment type: unknown INFO: Using bootstrap image: registry.fedoraproject.org/fedora:rawhide INFO: Pulling image: registry.fedoraproject.org/fedora:rawhide INFO: Copy content of container registry.fedoraproject.org/fedora:rawhide to /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1729849887.521630/root INFO: Checking that registry.fedoraproject.org/fedora:rawhide image matches host's architecture INFO: mounting registry.fedoraproject.org/fedora:rawhide with podman image mount INFO: image registry.fedoraproject.org/fedora:rawhide as /var/lib/containers/storage/overlay/f6b5405353f8e1218e109c755c08a6d982068d307e31f5fccd65941ec2d4834b/merged INFO: umounting image registry.fedoraproject.org/fedora:rawhide (/var/lib/containers/storage/overlay/f6b5405353f8e1218e109c755c08a6d982068d307e31f5fccd65941ec2d4834b/merged) with podman image umount INFO: Package manager dnf5 detected and used (fallback) INFO: Not updating bootstrap chroot, bootstrap_image_ready=True Start(bootstrap): creating root cache Finish(bootstrap): creating root cache Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1729849887.521630/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf5 detected and used (direct choice) INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-4.20.0-1.fc42.x86_64 rpm-sequoia-1.7.0-2.fc41.x86_64 dnf5-5.2.6.2-1.fc42.x86_64 dnf5-plugins-5.2.6.2-1.fc42.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: fedora 100% | 17.2 MiB/s | 21.8 MiB | 00m01s Copr repository 100% | 58.0 KiB/s | 5.0 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash x86_64 5.2.32-2.fc42 fedora 8.2 MiB bzip2 x86_64 1.0.8-19.fc41 fedora 95.7 KiB coreutils x86_64 9.5-10.fc42 fedora 5.7 MiB cpio x86_64 2.15-2.fc41 fedora 1.1 MiB diffutils x86_64 3.10-8.fc41 fedora 1.6 MiB fedora-release-common noarch 42-0.6 fedora 19.5 KiB findutils x86_64 1:4.10.0-4.fc41 fedora 1.8 MiB gawk x86_64 5.3.0-4.fc41 fedora 1.7 MiB glibc-minimal-langpack x86_64 2.40.9000-7.fc42 fedora 0.0 B grep x86_64 3.11-9.fc41 fedora 1.0 MiB gzip x86_64 1.13-2.fc41 fedora 389.0 KiB info x86_64 7.1.1-2.fc42 fedora 361.8 KiB patch x86_64 2.7.6-25.fc41 fedora 266.7 KiB redhat-rpm-config noarch 296-1.fc42 fedora 186.6 KiB rpm-build x86_64 4.20.0-1.fc42 fedora 194.3 KiB sed x86_64 4.9-3.fc41 fedora 861.5 KiB shadow-utils x86_64 2:4.16.0-6.fc42 fedora 4.1 MiB tar x86_64 2:1.35-4.fc41 fedora 2.9 MiB unzip x86_64 6.0-64.fc41 fedora 386.8 KiB util-linux x86_64 2.40.2-8.fc42 fedora 3.7 MiB which x86_64 2.21-42.fc41 fedora 80.2 KiB xz x86_64 1:5.6.3-2.fc42 fedora 1.2 MiB Installing dependencies: add-determinism x86_64 0.4.3-1.fc42 fedora 2.4 MiB alternatives x86_64 1.30-1.fc41 fedora 66.3 KiB ansible-srpm-macros noarch 1-16.fc41 fedora 35.7 KiB audit-libs x86_64 4.0.2-1.fc41 fedora 331.3 KiB authselect x86_64 1.5.0-8.fc42 fedora 157.5 KiB authselect-libs x86_64 1.5.0-8.fc42 fedora 822.2 KiB basesystem noarch 11-21.fc41 fedora 0.0 B binutils x86_64 2.43.50-5.fc42 fedora 27.6 MiB build-reproducibility-srpm-macros noarch 0.4.3-1.fc42 fedora 735.0 B bzip2-libs x86_64 1.0.8-19.fc41 fedora 80.7 KiB ca-certificates noarch 2024.2.69_v8.0.401-2.fc42 fedora 2.6 MiB coreutils-common x86_64 9.5-10.fc42 fedora 11.2 MiB cracklib x86_64 2.9.11-6.fc41 fedora 238.9 KiB crypto-policies noarch 20241018-1.gitce922cb.fc42 fedora 137.0 KiB curl x86_64 8.10.1-2.fc42 fedora 453.3 KiB cyrus-sasl-lib x86_64 2.1.28-27.fc41 fedora 2.3 MiB debugedit x86_64 5.0-18.fc42 fedora 199.3 KiB dwz x86_64 0.15-8.fc42 fedora 299.2 KiB ed x86_64 1.20.2-2.fc41 fedora 146.9 KiB efi-srpm-macros noarch 5-12.fc41 fedora 40.1 KiB elfutils x86_64 0.192-3.fc42 fedora 2.7 MiB elfutils-debuginfod-client x86_64 0.192-3.fc42 fedora 76.0 KiB elfutils-default-yama-scope noarch 0.192-3.fc42 fedora 1.8 KiB elfutils-libelf x86_64 0.192-3.fc42 fedora 1.2 MiB elfutils-libs x86_64 0.192-3.fc42 fedora 675.1 KiB fedora-gpg-keys noarch 42-0.3 fedora 126.4 KiB fedora-release noarch 42-0.6 fedora 0.0 B fedora-release-identity-basic noarch 42-0.6 fedora 719.0 B fedora-repos noarch 42-0.3 fedora 4.9 KiB fedora-repos-rawhide noarch 42-0.3 fedora 2.2 KiB file x86_64 5.45-7.fc41 fedora 103.5 KiB file-libs x86_64 5.45-7.fc41 fedora 9.9 MiB filesystem x86_64 3.18-29.fc42 fedora 106.0 B fonts-srpm-macros noarch 1:2.0.5-17.fc41 fedora 55.8 KiB forge-srpm-macros noarch 0.4.0-1.fc42 fedora 38.9 KiB fpc-srpm-macros noarch 1.3-13.fc41 fedora 144.0 B gdb-minimal x86_64 15.2-1.fc42 fedora 13.0 MiB gdbm x86_64 1:1.23-7.fc41 fedora 460.9 KiB gdbm-libs x86_64 1:1.23-7.fc41 fedora 121.9 KiB ghc-srpm-macros noarch 1.9.2-1.fc42 fedora 779.0 B glibc x86_64 2.40.9000-7.fc42 fedora 6.7 MiB glibc-common x86_64 2.40.9000-7.fc42 fedora 1.1 MiB glibc-gconv-extra x86_64 2.40.9000-7.fc42 fedora 8.1 MiB gmp x86_64 1:6.3.0-2.fc41 fedora 811.4 KiB gnat-srpm-macros noarch 6-6.fc41 fedora 1.0 KiB go-srpm-macros noarch 3.6.0-3.fc41 fedora 60.8 KiB jansson x86_64 2.14-1.fc42 fedora 93.1 KiB json-c x86_64 0.17-4.fc41 fedora 82.4 KiB kernel-srpm-macros noarch 1.0-24.fc41 fedora 1.9 KiB keyutils-libs x86_64 1.6.3-4.fc41 fedora 54.4 KiB krb5-libs x86_64 1.21.3-2.fc41 fedora 2.3 MiB libacl x86_64 2.3.2-2.fc41 fedora 40.0 KiB libarchive x86_64 3.7.6-1.fc42 fedora 934.8 KiB libattr x86_64 2.5.2-4.fc41 fedora 28.5 KiB libblkid x86_64 2.40.2-8.fc42 fedora 262.5 KiB libbrotli x86_64 1.1.0-5.fc41 fedora 837.6 KiB libcap x86_64 2.70-4.fc41 fedora 220.2 KiB libcap-ng x86_64 0.8.5-3.fc41 fedora 69.2 KiB libcom_err x86_64 1.47.1-6.fc42 fedora 67.2 KiB libcurl x86_64 8.10.1-2.fc42 fedora 838.4 KiB libeconf x86_64 0.7.4-2.fc42 fedora 68.3 KiB libevent x86_64 2.1.12-14.fc41 fedora 895.7 KiB libfdisk x86_64 2.40.2-8.fc42 fedora 362.9 KiB libffi x86_64 3.4.6-3.fc42 fedora 86.4 KiB libgcc x86_64 14.2.1-4.fc42 fedora 274.6 KiB libgomp x86_64 14.2.1-4.fc42 fedora 523.8 KiB libidn2 x86_64 2.3.7-2.fc41 fedora 329.1 KiB libmount x86_64 2.40.2-8.fc42 fedora 355.8 KiB libnghttp2 x86_64 1.64.0-1.fc42 fedora 174.5 KiB libnsl2 x86_64 2.0.1-2.fc41 fedora 57.9 KiB libpkgconf x86_64 2.3.0-1.fc42 fedora 78.2 KiB libpsl x86_64 0.21.5-4.fc41 fedora 80.5 KiB libpwquality x86_64 1.4.5-11.fc41 fedora 417.8 KiB libselinux x86_64 3.7-6.fc42 fedora 181.1 KiB libsemanage x86_64 3.7-3.fc42 fedora 298.0 KiB libsepol x86_64 3.7-3.fc42 fedora 818.0 KiB libsmartcols x86_64 2.40.2-8.fc42 fedora 180.4 KiB libssh x86_64 0.11.1-1.fc42 fedora 569.6 KiB libssh-config noarch 0.11.1-1.fc42 fedora 277.0 B libstdc++ x86_64 14.2.1-4.fc42 fedora 2.8 MiB libtasn1 x86_64 4.19.0-9.fc41 fedora 175.7 KiB libtirpc x86_64 1.3.6-0.fc42 fedora 203.0 KiB libtool-ltdl x86_64 2.4.7-12.fc41 fedora 66.2 KiB libunistring x86_64 1.1-8.fc41 fedora 1.7 MiB libuuid x86_64 2.40.2-8.fc42 fedora 41.4 KiB libverto x86_64 0.3.2-9.fc41 fedora 29.5 KiB libxcrypt x86_64 4.4.36-7.fc41 fedora 266.8 KiB libxml2 x86_64 2.12.8-2.fc41 fedora 1.7 MiB libzstd x86_64 1.5.6-2.fc41 fedora 795.9 KiB lua-libs x86_64 5.4.7-1.fc42 fedora 285.0 KiB lua-srpm-macros noarch 1-14.fc41 fedora 1.3 KiB lz4-libs x86_64 1.10.0-1.fc41 fedora 145.5 KiB mpfr x86_64 4.2.1-5.fc41 fedora 832.1 KiB ncurses-base noarch 6.5-2.20240629.fc41 fedora 326.3 KiB ncurses-libs x86_64 6.5-2.20240629.fc41 fedora 975.2 KiB ocaml-srpm-macros noarch 10-3.fc41 fedora 1.9 KiB openblas-srpm-macros noarch 2-18.fc41 fedora 112.0 B openldap x86_64 2.6.8-5.fc41 fedora 644.2 KiB openssl-libs x86_64 1:3.2.2-8.fc42 fedora 7.8 MiB p11-kit x86_64 0.25.5-4.fc42 fedora 2.2 MiB p11-kit-trust x86_64 0.25.5-4.fc42 fedora 403.8 KiB package-notes-srpm-macros noarch 0.5-12.fc41 fedora 1.6 KiB pam x86_64 1.6.1-8.fc42 fedora 1.6 MiB pam-libs x86_64 1.6.1-8.fc42 fedora 127.7 KiB pcre2 x86_64 10.44-1.fc41.1 fedora 653.5 KiB pcre2-syntax noarch 10.44-1.fc41.1 fedora 251.6 KiB perl-srpm-macros noarch 1-56.fc41 fedora 861.0 B pkgconf x86_64 2.3.0-1.fc42 fedora 88.6 KiB pkgconf-m4 noarch 2.3.0-1.fc42 fedora 14.4 KiB pkgconf-pkg-config x86_64 2.3.0-1.fc42 fedora 989.0 B popt x86_64 1.19-7.fc41 fedora 136.9 KiB publicsuffix-list-dafsa noarch 20240107-4.fc41 fedora 67.5 KiB pyproject-srpm-macros noarch 1.15.1-1.fc42 fedora 1.9 KiB python-srpm-macros noarch 3.13-3.fc41 fedora 51.0 KiB qt5-srpm-macros noarch 5.15.15-1.fc42 fedora 500.0 B qt6-srpm-macros noarch 6.8.0-1.fc42 fedora 456.0 B readline x86_64 8.2-11.fc42 fedora 493.1 KiB rpm x86_64 4.20.0-1.fc42 fedora 3.1 MiB rpm-build-libs x86_64 4.20.0-1.fc42 fedora 206.7 KiB rpm-libs x86_64 4.20.0-1.fc42 fedora 726.1 KiB rpm-sequoia x86_64 1.7.0-2.fc41 fedora 2.4 MiB rust-srpm-macros noarch 26.3-3.fc42 fedora 4.8 KiB setup noarch 2.15.0-5.fc41 fedora 720.7 KiB sqlite-libs x86_64 3.46.1-1.fc42 fedora 1.4 MiB systemd-libs x86_64 256.7-1.fc42 fedora 2.0 MiB util-linux-core x86_64 2.40.2-8.fc42 fedora 1.5 MiB xxhash-libs x86_64 0.8.2-4.fc42 fedora 88.4 KiB xz-libs x86_64 1:5.6.3-2.fc42 fedora 218.4 KiB zig-srpm-macros noarch 1-3.fc41 fedora 1.1 KiB zip x86_64 3.0-41.fc41 fedora 703.2 KiB zlib-ng-compat x86_64 2.1.7-3.fc42 fedora 138.0 KiB zstd x86_64 1.5.6-2.fc41 fedora 1.7 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 154 packages Total size of inbound packages is 53 MiB. Need to download 53 MiB. After this operation, 181 MiB extra will be used (install 181 MiB, remove 0 B). [ 1/154] bzip2-0:1.0.8-19.fc41.x86_64 100% | 1.1 MiB/s | 52.5 KiB | 00m00s [ 2/154] cpio-0:2.15-2.fc41.x86_64 100% | 8.6 MiB/s | 291.8 KiB | 00m00s [ 3/154] coreutils-0:9.5-10.fc42.x86_6 100% | 12.6 MiB/s | 1.1 MiB | 00m00s [ 4/154] fedora-release-common-0:42-0. 100% | 2.8 MiB/s | 23.3 KiB | 00m00s [ 5/154] diffutils-0:3.10-8.fc41.x86_6 100% | 22.0 MiB/s | 405.4 KiB | 00m00s [ 6/154] glibc-minimal-langpack-0:2.40 100% | 9.9 MiB/s | 122.2 KiB | 00m00s [ 7/154] findutils-1:4.10.0-4.fc41.x86 100% | 33.5 MiB/s | 548.6 KiB | 00m00s [ 8/154] grep-0:3.11-9.fc41.x86_64 100% | 20.9 MiB/s | 299.8 KiB | 00m00s [ 9/154] gzip-0:1.13-2.fc41.x86_64 100% | 12.8 MiB/s | 170.2 KiB | 00m00s [ 10/154] info-0:7.1.1-2.fc42.x86_64 100% | 14.9 MiB/s | 183.2 KiB | 00m00s [ 11/154] patch-0:2.7.6-25.fc41.x86_64 100% | 9.8 MiB/s | 131.0 KiB | 00m00s [ 12/154] bash-0:5.2.32-2.fc42.x86_64 100% | 11.9 MiB/s | 1.8 MiB | 00m00s [ 13/154] redhat-rpm-config-0:296-1.fc4 100% | 6.7 MiB/s | 82.4 KiB | 00m00s [ 14/154] rpm-build-0:4.20.0-1.fc42.x86 100% | 8.1 MiB/s | 82.7 KiB | 00m00s [ 15/154] sed-0:4.9-3.fc41.x86_64 100% | 16.3 MiB/s | 317.7 KiB | 00m00s [ 16/154] shadow-utils-2:4.16.0-6.fc42. 100% | 38.7 MiB/s | 1.3 MiB | 00m00s [ 17/154] tar-2:1.35-4.fc41.x86_64 100% | 23.3 MiB/s | 860.7 KiB | 00m00s [ 18/154] unzip-0:6.0-64.fc41.x86_64 100% | 10.6 MiB/s | 184.9 KiB | 00m00s [ 19/154] which-0:2.21-42.fc41.x86_64 100% | 4.5 MiB/s | 41.6 KiB | 00m00s [ 20/154] xz-1:5.6.3-2.fc42.x86_64 100% | 24.4 MiB/s | 475.4 KiB | 00m00s [ 21/154] gawk-0:5.3.0-4.fc41.x86_64 100% | 34.6 MiB/s | 1.1 MiB | 00m00s [ 22/154] util-linux-0:2.40.2-8.fc42.x8 100% | 35.2 MiB/s | 1.2 MiB | 00m00s [ 23/154] filesystem-0:3.18-29.fc42.x86 100% | 34.0 MiB/s | 1.1 MiB | 00m00s [ 24/154] ncurses-libs-0:6.5-2.20240629 100% | 16.3 MiB/s | 334.0 KiB | 00m00s [ 25/154] bzip2-libs-0:1.0.8-19.fc41.x8 100% | 2.4 MiB/s | 41.1 KiB | 00m00s [ 26/154] glibc-0:2.40.9000-7.fc42.x86_ 100% | 56.1 MiB/s | 2.2 MiB | 00m00s [ 27/154] libacl-0:2.3.2-2.fc41.x86_64 100% | 2.2 MiB/s | 24.5 KiB | 00m00s [ 28/154] gmp-1:6.3.0-2.fc41.x86_64 100% | 15.5 MiB/s | 318.0 KiB | 00m00s [ 29/154] coreutils-common-0:9.5-10.fc4 100% | 60.6 MiB/s | 2.1 MiB | 00m00s [ 30/154] libattr-0:2.5.2-4.fc41.x86_64 100% | 1.5 MiB/s | 18.2 KiB | 00m00s [ 31/154] libcap-0:2.70-4.fc41.x86_64 100% | 7.1 MiB/s | 86.7 KiB | 00m00s [ 32/154] libselinux-0:3.7-6.fc42.x86_6 100% | 9.6 MiB/s | 88.6 KiB | 00m00s [ 33/154] fedora-repos-0:42-0.3.noarch 100% | 656.5 KiB/s | 9.2 KiB | 00m00s [ 34/154] systemd-libs-0:256.7-1.fc42.x 100% | 23.8 MiB/s | 731.9 KiB | 00m00s [ 35/154] glibc-common-0:2.40.9000-7.fc 100% | 21.1 MiB/s | 411.1 KiB | 00m00s [ 36/154] openssl-libs-1:3.2.2-8.fc42.x 100% | 49.2 MiB/s | 2.3 MiB | 00m00s [ 37/154] pcre2-0:10.44-1.fc41.1.x86_64 100% | 18.3 MiB/s | 243.1 KiB | 00m00s [ 38/154] ed-0:1.20.2-2.fc41.x86_64 100% | 8.9 MiB/s | 81.8 KiB | 00m00s [ 39/154] ansible-srpm-macros-0:1-16.fc 100% | 2.5 MiB/s | 20.8 KiB | 00m00s [ 40/154] build-reproducibility-srpm-ma 100% | 1.4 MiB/s | 11.2 KiB | 00m00s [ 41/154] dwz-0:0.15-8.fc42.x86_64 100% | 13.6 MiB/s | 139.1 KiB | 00m00s [ 42/154] efi-srpm-macros-0:5-12.fc41.n 100% | 2.7 MiB/s | 22.4 KiB | 00m00s [ 43/154] file-0:5.45-7.fc41.x86_64 100% | 5.3 MiB/s | 49.1 KiB | 00m00s [ 44/154] fonts-srpm-macros-1:2.0.5-17. 100% | 3.3 MiB/s | 27.0 KiB | 00m00s [ 45/154] forge-srpm-macros-0:0.4.0-1.f 100% | 2.4 MiB/s | 19.8 KiB | 00m00s [ 46/154] fpc-srpm-macros-0:1.3-13.fc41 100% | 995.2 KiB/s | 8.0 KiB | 00m00s [ 47/154] ghc-srpm-macros-0:1.9.2-1.fc4 100% | 1.1 MiB/s | 9.1 KiB | 00m00s [ 48/154] gnat-srpm-macros-0:6-6.fc41.n 100% | 994.7 KiB/s | 9.0 KiB | 00m00s [ 49/154] go-srpm-macros-0:3.6.0-3.fc41 100% | 2.7 MiB/s | 28.0 KiB | 00m00s [ 50/154] kernel-srpm-macros-0:1.0-24.f 100% | 1.2 MiB/s | 9.9 KiB | 00m00s [ 51/154] lua-srpm-macros-0:1-14.fc41.n 100% | 1.1 MiB/s | 8.9 KiB | 00m00s [ 52/154] ocaml-srpm-macros-0:10-3.fc41 100% | 1.0 MiB/s | 9.2 KiB | 00m00s [ 53/154] openblas-srpm-macros-0:2-18.f 100% | 964.4 KiB/s | 7.7 KiB | 00m00s [ 54/154] package-notes-srpm-macros-0:0 100% | 1.2 MiB/s | 9.8 KiB | 00m00s [ 55/154] perl-srpm-macros-0:1-56.fc41. 100% | 945.9 KiB/s | 8.5 KiB | 00m00s [ 56/154] pyproject-srpm-macros-0:1.15. 100% | 1.6 MiB/s | 13.3 KiB | 00m00s [ 57/154] python-srpm-macros-0:3.13-3.f 100% | 2.9 MiB/s | 23.7 KiB | 00m00s [ 58/154] qt6-srpm-macros-0:6.8.0-1.fc4 100% | 1.1 MiB/s | 9.0 KiB | 00m00s [ 59/154] qt5-srpm-macros-0:5.15.15-1.f 100% | 808.9 KiB/s | 8.9 KiB | 00m00s [ 60/154] rpm-0:4.20.0-1.fc42.x86_64 100% | 35.6 MiB/s | 547.3 KiB | 00m00s [ 61/154] rust-srpm-macros-0:26.3-3.fc4 100% | 1.5 MiB/s | 12.1 KiB | 00m00s [ 62/154] zig-srpm-macros-0:1-3.fc41.no 100% | 738.5 KiB/s | 8.1 KiB | 00m00s [ 63/154] debugedit-0:5.0-18.fc42.x86_6 100% | 7.1 MiB/s | 80.0 KiB | 00m00s [ 64/154] zip-0:3.0-41.fc41.x86_64 100% | 19.9 MiB/s | 264.8 KiB | 00m00s [ 65/154] elfutils-0:0.192-3.fc42.x86_6 100% | 29.5 MiB/s | 543.7 KiB | 00m00s [ 66/154] libarchive-0:3.7.6-1.fc42.x86 100% | 26.9 MiB/s | 413.7 KiB | 00m00s [ 67/154] elfutils-libelf-0:0.192-3.fc4 100% | 11.3 MiB/s | 207.6 KiB | 00m00s [ 68/154] popt-0:1.19-7.fc41.x86_64 100% | 6.4 MiB/s | 65.9 KiB | 00m00s [ 69/154] readline-0:8.2-11.fc42.x86_64 100% | 18.9 MiB/s | 213.4 KiB | 00m00s [ 70/154] rpm-libs-0:4.20.0-1.fc42.x86_ 100% | 25.2 MiB/s | 309.5 KiB | 00m00s [ 71/154] rpm-build-libs-0:4.20.0-1.fc4 100% | 6.0 MiB/s | 98.7 KiB | 00m00s [ 72/154] zstd-0:1.5.6-2.fc41.x86_64 100% | 31.3 MiB/s | 481.5 KiB | 00m00s [ 73/154] audit-libs-0:4.0.2-1.fc41.x86 100% | 12.3 MiB/s | 126.2 KiB | 00m00s [ 74/154] libeconf-0:0.7.4-2.fc42.x86_6 100% | 3.4 MiB/s | 34.6 KiB | 00m00s [ 75/154] libsemanage-0:3.7-3.fc42.x86_ 100% | 11.4 MiB/s | 117.2 KiB | 00m00s [ 76/154] libxcrypt-0:4.4.36-7.fc41.x86 100% | 11.6 MiB/s | 118.5 KiB | 00m00s [ 77/154] pam-libs-0:1.6.1-8.fc42.x86_6 100% | 4.0 MiB/s | 57.1 KiB | 00m00s [ 78/154] setup-0:2.15.0-5.fc41.noarch 100% | 10.1 MiB/s | 154.4 KiB | 00m00s [ 79/154] xz-libs-1:5.6.3-2.fc42.x86_64 100% | 7.3 MiB/s | 111.9 KiB | 00m00s [ 80/154] libblkid-0:2.40.2-8.fc42.x86_ 100% | 12.2 MiB/s | 125.0 KiB | 00m00s [ 81/154] libcap-ng-0:0.8.5-3.fc41.x86_ 100% | 3.5 MiB/s | 32.6 KiB | 00m00s [ 82/154] libfdisk-0:2.40.2-8.fc42.x86_ 100% | 15.6 MiB/s | 159.6 KiB | 00m00s [ 83/154] libmount-0:2.40.2-8.fc42.x86_ 100% | 11.7 MiB/s | 156.1 KiB | 00m00s [ 84/154] mpfr-0:4.2.1-5.fc41.x86_64 100% | 9.7 MiB/s | 346.3 KiB | 00m00s [ 85/154] libsmartcols-0:2.40.2-8.fc42. 100% | 8.2 MiB/s | 83.9 KiB | 00m00s [ 86/154] libuuid-0:2.40.2-8.fc42.x86_6 100% | 2.6 MiB/s | 29.0 KiB | 00m00s [ 87/154] zlib-ng-compat-0:2.1.7-3.fc42 100% | 8.5 MiB/s | 77.9 KiB | 00m00s [ 88/154] basesystem-0:11-21.fc41.noarc 100% | 614.3 KiB/s | 7.4 KiB | 00m00s [ 89/154] util-linux-core-0:2.40.2-8.fc 100% | 13.5 MiB/s | 537.3 KiB | 00m00s [ 90/154] libgcc-0:14.2.1-4.fc42.x86_64 100% | 10.0 MiB/s | 133.3 KiB | 00m00s [ 91/154] glibc-gconv-extra-0:2.40.9000 100% | 45.8 MiB/s | 1.7 MiB | 00m00s [ 92/154] ncurses-base-0:6.5-2.20240629 100% | 7.2 MiB/s | 88.4 KiB | 00m00s [ 93/154] libsepol-0:3.7-3.fc42.x86_64 100% | 25.7 MiB/s | 342.2 KiB | 00m00s [ 94/154] crypto-policies-0:20241018-1. 100% | 5.6 MiB/s | 97.5 KiB | 00m00s [ 95/154] fedora-gpg-keys-0:42-0.3.noar 100% | 8.7 MiB/s | 133.6 KiB | 00m00s [ 96/154] ca-certificates-0:2024.2.69_v 100% | 36.9 MiB/s | 944.5 KiB | 00m00s [ 97/154] fedora-repos-rawhide-0:42-0.3 100% | 1.1 MiB/s | 8.8 KiB | 00m00s [ 98/154] pcre2-syntax-0:10.44-1.fc41.1 100% | 14.6 MiB/s | 149.9 KiB | 00m00s [ 99/154] add-determinism-0:0.4.3-1.fc4 100% | 36.8 MiB/s | 904.4 KiB | 00m00s [100/154] curl-0:8.10.1-2.fc42.x86_64 100% | 12.7 MiB/s | 221.3 KiB | 00m00s [101/154] elfutils-debuginfod-client-0: 100% | 3.5 MiB/s | 43.4 KiB | 00m00s [102/154] elfutils-libs-0:0.192-3.fc42. 100% | 13.6 MiB/s | 263.7 KiB | 00m00s [103/154] file-libs-0:5.45-7.fc41.x86_6 100% | 16.2 MiB/s | 762.0 KiB | 00m00s [104/154] libstdc++-0:14.2.1-4.fc42.x86 100% | 39.4 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gdbm-libs-1:1.23-7.fc41.x86_6 100% | 6.1 MiB/s | 56.3 KiB | 00m00s [118/154] libpwquality-0:1.4.5-11.fc41. 100% | 11.6 MiB/s | 119.1 KiB | 00m00s [119/154] libnsl2-0:2.0.1-2.fc41.x86_64 100% | 1.8 MiB/s | 29.6 KiB | 00m00s [120/154] libtirpc-0:1.3.6-0.fc42.x86_6 100% | 9.2 MiB/s | 94.7 KiB | 00m00s [121/154] cracklib-0:2.9.11-6.fc41.x86_ 100% | 10.0 MiB/s | 92.0 KiB | 00m00s [122/154] libcom_err-0:1.47.1-6.fc42.x8 100% | 2.0 MiB/s | 26.6 KiB | 00m00s [123/154] keyutils-libs-0:1.6.3-4.fc41. 100% | 2.8 MiB/s | 31.6 KiB | 00m00s [124/154] libverto-0:0.3.2-9.fc41.x86_6 100% | 2.2 MiB/s | 20.7 KiB | 00m00s [125/154] krb5-libs-0:1.21.3-2.fc41.x86 100% | 24.7 MiB/s | 757.4 KiB | 00m00s [126/154] alternatives-0:1.30-1.fc41.x8 100% | 3.8 MiB/s | 42.5 KiB | 00m00s [127/154] pkgconf-pkg-config-0:2.3.0-1. 100% | 1.1 MiB/s | 10.0 KiB | 00m00s [128/154] jansson-0:2.14-1.fc42.x86_64 100% | 1.8 MiB/s | 45.3 KiB | 00m00s [129/154] pkgconf-0:2.3.0-1.fc42.x86_64 100% | 4.4 MiB/s | 45.2 KiB | 00m00s [130/154] libpkgconf-0:2.3.0-1.fc42.x86 100% | 4.2 MiB/s | 38.5 KiB | 00m00s [131/154] pkgconf-m4-0:2.3.0-1.fc42.noa 100% | 795.6 KiB/s | 14.3 KiB | 00m00s [132/154] gdbm-1:1.23-7.fc41.x86_64 100% | 10.6 MiB/s | 151.8 KiB | 00m00s [133/154] libffi-0:3.4.6-3.fc42.x86_64 100% | 1.9 MiB/s | 40.0 KiB | 00m00s [134/154] p11-kit-0:0.25.5-4.fc42.x86_6 100% | 19.2 MiB/s | 492.0 KiB | 00m00s [135/154] binutils-0:2.43.50-5.fc42.x86 100% | 65.2 MiB/s | 6.5 MiB | 00m00s [136/154] libtasn1-0:4.19.0-9.fc41.x86_ 100% | 3.6 MiB/s | 74.2 KiB | 00m00s [137/154] p11-kit-trust-0:0.25.5-4.fc42 100% | 11.8 MiB/s | 133.2 KiB | 00m00s [138/154] fedora-release-0:42-0.6.noarc 100% | 1.5 MiB/s | 12.5 KiB | 00m00s [139/154] xxhash-libs-0:0.8.2-4.fc42.x8 100% | 2.0 MiB/s | 36.8 KiB | 00m00s [140/154] fedora-release-identity-basic 100% | 952.4 KiB/s | 13.3 KiB | 00m00s [141/154] libcurl-0:8.10.1-2.fc42.x86_6 100% | 13.9 MiB/s | 371.3 KiB | 00m00s [142/154] libbrotli-0:1.1.0-5.fc41.x86_ 100% | 12.3 MiB/s | 340.5 KiB | 00m00s [143/154] libnghttp2-0:1.64.0-1.fc42.x8 100% | 5.4 MiB/s | 77.4 KiB | 00m00s [144/154] libidn2-0:2.3.7-2.fc41.x86_64 100% | 7.2 MiB/s | 118.4 KiB | 00m00s [145/154] gdb-minimal-0:15.2-1.fc42.x86 100% | 56.0 MiB/s | 4.3 MiB | 00m00s [146/154] libpsl-0:0.21.5-4.fc41.x86_64 100% | 5.2 MiB/s | 64.1 KiB | 00m00s [147/154] libssh-0:0.11.1-1.fc42.x86_64 100% | 16.2 MiB/s | 231.9 KiB | 00m00s [148/154] publicsuffix-list-dafsa-0:202 100% | 4.4 MiB/s | 58.3 KiB | 00m00s [149/154] libunistring-0:1.1-8.fc41.x86 100% | 29.6 MiB/s | 544.8 KiB | 00m00s [150/154] libssh-config-0:0.11.1-1.fc42 100% | 1.0 MiB/s | 9.4 KiB | 00m00s [151/154] openldap-0:2.6.8-5.fc41.x86_6 100% | 9.6 MiB/s | 255.6 KiB | 00m00s [152/154] cyrus-sasl-lib-0:2.1.28-27.fc 100% | 40.9 MiB/s | 794.9 KiB | 00m00s [153/154] libevent-0:2.1.12-14.fc41.x86 100% | 16.8 MiB/s | 257.5 KiB | 00m00s [154/154] libtool-ltdl-0:2.4.7-12.fc41. 100% | 1.4 MiB/s | 35.6 KiB | 00m00s -------------------------------------------------------------------------------- [154/154] Total 100% | 51.5 MiB/s | 53.3 MiB | 00m01s Running transaction Importing PGP key 0x105EF944: UserID : "Fedora (42) " Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary The key was successfully imported. Importing PGP key 0x105EF944: UserID : "Fedora (42) " Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary The key was successfully imported. Importing PGP key 0xE99D6AD1: UserID : "Fedora (41) " Fingerprint: 466CF2D8B60BC3057AA9453ED0622462E99D6AD1 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-41-primary The key was successfully imported. Importing PGP key 0x31645531: UserID : "Fedora (43) " Fingerprint: C6E7F081CF80E13146676E88829B606631645531 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-43-primary The key was successfully imported. [ 1/156] Verify package files 100% | 736.0 B/s | 154.0 B | 00m00s [ 2/156] Prepare transaction 100% | 1.7 KiB/s | 154.0 B | 00m00s [ 3/156] Installing libgcc-0:14.2.1-4. 100% | 134.9 MiB/s | 276.3 KiB | 00m00s [ 4/156] Installing libssh-config-0:0. 100% | 0.0 B/s | 816.0 B | 00m00s [ 5/156] Installing publicsuffix-list- 100% | 66.7 MiB/s | 68.3 KiB | 00m00s [ 6/156] Installing fedora-release-ide 100% | 0.0 B/s | 976.0 B | 00m00s [ 7/156] Installing fedora-repos-rawhi 100% | 2.4 MiB/s | 2.4 KiB | 00m00s [ 8/156] Installing fedora-gpg-keys-0: 100% | 18.7 MiB/s | 172.2 KiB | 00m00s [ 9/156] Installing fedora-repos-0:42- 100% | 5.6 MiB/s | 5.7 KiB | 00m00s [ 10/156] Installing fedora-release-com 100% | 11.6 MiB/s | 23.8 KiB | 00m00s [ 11/156] Installing fedora-release-0:4 100% | 0.0 B/s | 124.0 B | 00m00s [ 12/156] Installing setup-0:2.15.0-5.f 100% | 44.3 MiB/s | 726.1 KiB | 00m00s [ 13/156] Installing filesystem-0:3.18- 100% | 1.6 MiB/s | 212.6 KiB | 00m00s [ 14/156] Installing basesystem-0:11-21 100% | 0.0 B/s | 124.0 B | 00m00s [ 15/156] Installing pkgconf-m4-0:2.3.0 100% | 0.0 B/s | 14.8 KiB | 00m00s [ 16/156] Installing pcre2-syntax-0:10. 100% | 124.1 MiB/s | 254.1 KiB | 00m00s [ 17/156] Installing ncurses-base-0:6.5 100% | 38.2 MiB/s | 351.7 KiB | 00m00s [ 18/156] Installing glibc-minimal-lang 100% | 0.0 B/s | 124.0 B | 00m00s [ 19/156] Installing ncurses-libs-0:6.5 100% | 137.0 MiB/s | 981.8 KiB | 00m00s warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead [ 20/156] Installing glibc-0:2.40.9000- 100% | 131.4 MiB/s | 6.7 MiB | 00m00s [ 21/156] Installing bash-0:5.2.32-2.fc 100% | 233.4 MiB/s | 8.2 MiB | 00m00s [ 22/156] Installing glibc-common-0:2.4 100% | 117.5 MiB/s | 1.1 MiB | 00m00s warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead [ 23/156] Installing glibc-gconv-extra- 100% | 126.4 MiB/s | 8.2 MiB | 00m00s [ 24/156] Installing zlib-ng-compat-0:2 100% | 135.5 MiB/s | 138.8 KiB | 00m00s [ 25/156] Installing 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00m00s [ 38/156] Installing libeconf-0:0.7.4-2 100% | 68.4 MiB/s | 70.0 KiB | 00m00s [ 39/156] Installing gdbm-libs-1:1.23-7 100% | 120.7 MiB/s | 123.6 KiB | 00m00s [ 40/156] Installing dwz-0:0.15-8.fc42. 100% | 146.8 MiB/s | 300.6 KiB | 00m00s [ 41/156] Installing mpfr-0:4.2.1-5.fc4 100% | 203.5 MiB/s | 833.7 KiB | 00m00s [ 42/156] Installing gawk-0:5.3.0-4.fc4 100% | 144.3 MiB/s | 1.7 MiB | 00m00s [ 43/156] Installing unzip-0:6.0-64.fc4 100% | 127.0 MiB/s | 390.3 KiB | 00m00s [ 44/156] Installing file-libs-0:5.45-7 100% | 413.9 MiB/s | 9.9 MiB | 00m00s [ 45/156] Installing file-0:5.45-7.fc41 100% | 8.5 MiB/s | 105.0 KiB | 00m00s [ 46/156] Installing crypto-policies-0: 100% | 13.3 MiB/s | 163.3 KiB | 00m00s [ 47/156] Installing pcre2-0:10.44-1.fc 100% | 213.2 MiB/s | 654.9 KiB | 00m00s [ 48/156] Installing grep-0:3.11-9.fc41 100% | 111.5 MiB/s | 1.0 MiB | 00m00s [ 49/156] Installing xz-1:5.6.3-2.fc42. 100% | 123.7 MiB/s | 1.2 MiB | 00m00s [ 50/156] Installing libcap-ng-0:0.8.5- 100% | 69.4 MiB/s | 71.0 KiB | 00m00s [ 51/156] Installing audit-libs-0:4.0.2 100% | 162.8 MiB/s | 333.4 KiB | 00m00s [ 52/156] Installing pam-libs-0:1.6.1-8 100% | 126.7 MiB/s | 129.7 KiB | 00m00s [ 53/156] Installing libcap-0:2.70-4.fc 100% | 73.3 MiB/s | 225.2 KiB | 00m00s [ 54/156] Installing systemd-libs-0:256 100% | 226.4 MiB/s | 2.0 MiB | 00m00s [ 55/156] Installing libsmartcols-0:2.4 100% | 177.1 MiB/s | 181.4 KiB | 00m00s [ 56/156] Installing libsepol-0:3.7-3.f 100% | 200.0 MiB/s | 819.0 KiB | 00m00s [ 57/156] Installing libselinux-0:3.7-6 100% | 178.0 MiB/s | 182.3 KiB | 00m00s [ 58/156] Installing sed-0:4.9-3.fc41.x 100% | 106.2 MiB/s | 869.7 KiB | 00m00s [ 59/156] Installing findutils-1:4.10.0 100% | 185.8 MiB/s | 1.9 MiB | 00m00s [ 60/156] Installing libmount-0:2.40.2- 100% | 174.3 MiB/s | 356.9 KiB | 00m00s [ 61/156] Installing lz4-libs-0:1.10.0- 100% | 143.1 MiB/s | 146.6 KiB | 00m00s [ 62/156] Installing lua-libs-0:5.4.7-1 100% | 139.7 MiB/s | 286.2 KiB | 00m00s [ 63/156] Installing libcom_err-0:1.47. 100% | 66.7 MiB/s | 68.3 KiB | 00m00s [ 64/156] Installing alternatives-0:1.3 100% | 66.3 MiB/s | 67.9 KiB | 00m00s [ 65/156] Installing libffi-0:3.4.6-3.f 100% | 85.7 MiB/s | 87.8 KiB | 00m00s [ 66/156] Installing libtasn1-0:4.19.0- 100% | 86.7 MiB/s | 177.5 KiB | 00m00s [ 67/156] Installing p11-kit-0:0.25.5-4 100% | 147.7 MiB/s | 2.2 MiB | 00m00s [ 68/156] Installing libunistring-0:1.1 100% | 247.2 MiB/s | 1.7 MiB | 00m00s [ 69/156] Installing libidn2-0:2.3.7-2. 100% | 81.8 MiB/s | 335.1 KiB | 00m00s [ 70/156] Installing libpsl-0:0.21.5-4. 100% | 79.7 MiB/s | 81.7 KiB | 00m00s [ 71/156] Installing p11-kit-trust-0:0. 100% | 26.4 MiB/s | 405.5 KiB | 00m00s [ 72/156] Installing zstd-0:1.5.6-2.fc4 100% | 211.4 MiB/s | 1.7 MiB | 00m00s [ 73/156] Installing util-linux-core-0: 100% | 138.9 MiB/s | 1.5 MiB | 00m00s [ 74/156] Installing tar-2:1.35-4.fc41. 100% | 211.3 MiB/s | 3.0 MiB | 00m00s [ 75/156] Installing libsemanage-0:3.7- 100% | 97.6 MiB/s | 299.8 KiB | 00m00s [ 76/156] Installing shadow-utils-2:4.1 100% | 121.9 MiB/s | 4.1 MiB | 00m00s [ 77/156] Installing zip-0:3.0-41.fc41. 100% | 172.6 MiB/s | 707.1 KiB | 00m00s [ 78/156] Installing gdbm-1:1.23-7.fc41 100% | 113.7 MiB/s | 465.8 KiB | 00m00s [ 79/156] Installing cyrus-sasl-lib-0:2 100% | 256.2 MiB/s | 2.3 MiB | 00m00s [ 80/156] Installing libfdisk-0:2.40.2- 100% | 177.7 MiB/s | 364.0 KiB | 00m00s [ 81/156] Installing libxml2-0:2.12.8-2 100% | 214.0 MiB/s | 1.7 MiB | 00m00s [ 82/156] Installing bzip2-0:1.0.8-19.f 100% | 48.9 MiB/s | 100.2 KiB | 00m00s [ 83/156] Installing add-determinism-0: 100% | 270.1 MiB/s | 2.4 MiB | 00m00s [ 84/156] Installing build-reproducibil 100% | 0.0 B/s | 1.0 KiB | 00m00s [ 85/156] Installing sqlite-libs-0:3.46 100% | 238.8 MiB/s | 1.4 MiB | 00m00s [ 86/156] Installing ed-0:1.20.2-2.fc41 100% | 72.8 MiB/s | 149.2 KiB | 00m00s [ 87/156] Installing patch-0:2.7.6-25.f 100% | 131.0 MiB/s | 268.2 KiB | 00m00s [ 88/156] Installing elfutils-default-y 100% | 204.3 KiB/s | 2.0 KiB | 00m00s [ 89/156] Installing elfutils-libs-0:0. 100% | 165.3 MiB/s | 677.0 KiB | 00m00s [ 90/156] Installing cpio-0:2.15-2.fc41 100% | 157.1 MiB/s | 1.1 MiB | 00m00s [ 91/156] Installing diffutils-0:3.10-8 100% | 159.0 MiB/s | 1.6 MiB | 00m00s [ 92/156] Installing libgomp-0:14.2.1-4 100% | 171.0 MiB/s | 525.2 KiB | 00m00s [ 93/156] Installing json-c-0:0.17-4.fc 100% | 81.7 MiB/s | 83.6 KiB | 00m00s [ 94/156] Installing keyutils-libs-0:1. 100% | 54.5 MiB/s | 55.8 KiB | 00m00s [ 95/156] Installing libverto-0:0.3.2-9 100% | 30.5 MiB/s | 31.3 KiB | 00m00s [ 96/156] Installing jansson-0:2.14-1.f 100% | 92.3 MiB/s | 94.5 KiB | 00m00s [ 97/156] Installing libpkgconf-0:2.3.0 100% | 77.5 MiB/s | 79.3 KiB | 00m00s [ 98/156] Installing pkgconf-0:2.3.0-1. 100% | 44.5 MiB/s | 91.1 KiB | 00m00s [ 99/156] Installing pkgconf-pkg-config 100% | 1.7 MiB/s | 1.8 KiB | 00m00s [100/156] Installing xxhash-libs-0:0.8. 100% | 87.7 MiB/s | 89.8 KiB | 00m00s [101/156] Installing libbrotli-0:1.1.0- 100% | 205.0 MiB/s | 839.9 KiB | 00m00s [102/156] Installing libnghttp2-0:1.64. 100% | 85.7 MiB/s | 175.6 KiB | 00m00s [103/156] Installing libtool-ltdl-0:2.4 100% | 65.7 MiB/s | 67.3 KiB | 00m00s [104/156] Installing rust-srpm-macros-0 100% | 5.4 MiB/s | 5.6 KiB | 00m00s [105/156] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 732.0 B | 00m00s [106/156] Installing qt5-srpm-macros-0: 100% | 0.0 B/s | 776.0 B | 00m00s [107/156] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [108/156] Installing package-notes-srpm 100% | 0.0 B/s | 2.0 KiB | 00m00s [109/156] Installing openblas-srpm-macr 100% | 0.0 B/s | 392.0 B | 00m00s [110/156] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.2 KiB | 00m00s [111/156] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [112/156] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [113/156] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [114/156] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [115/156] Installing ansible-srpm-macro 100% | 35.4 MiB/s | 36.2 KiB | 00m00s [116/156] Installing coreutils-common-0 100% | 238.1 MiB/s | 11.2 MiB | 00m00s [117/156] Installing openssl-libs-1:3.2 100% | 289.9 MiB/s | 7.8 MiB | 00m00s [118/156] Installing coreutils-0:9.5-10 100% | 146.8 MiB/s | 5.7 MiB | 00m00s [119/156] Installing ca-certificates-0: 100% | 1.0 MiB/s | 2.4 MiB | 00m02s [120/156] Installing krb5-libs-0:1.21.3 100% | 127.7 MiB/s | 2.3 MiB | 00m00s [121/156] Installing libarchive-0:3.7.6 100% | 152.5 MiB/s | 936.7 KiB | 00m00s [122/156] Installing libtirpc-0:1.3.6-0 100% | 66.7 MiB/s | 204.8 KiB | 00m00s [123/156] Installing gzip-0:1.13-2.fc41 100% | 64.2 MiB/s | 394.6 KiB | 00m00s [124/156] Installing authselect-libs-0: 100% | 62.9 MiB/s | 837.2 KiB | 00m00s [125/156] Installing cracklib-0:2.9.11- 100% | 24.4 MiB/s | 250.3 KiB | 00m00s [126/156] Installing libpwquality-0:1.4 100% | 38.2 MiB/s | 430.1 KiB | 00m00s [127/156] Installing libnsl2-0:2.0.1-2. 100% | 28.8 MiB/s | 59.1 KiB | 00m00s [128/156] Installing pam-0:1.6.1-8.fc42 100% | 54.1 MiB/s | 1.7 MiB | 00m00s [129/156] Installing libssh-0:0.11.1-1. 100% | 186.1 MiB/s | 571.7 KiB | 00m00s [130/156] Installing rpm-sequoia-0:1.7. 100% | 263.0 MiB/s | 2.4 MiB | 00m00s [131/156] Installing rpm-libs-0:4.20.0- 100% | 177.7 MiB/s | 727.7 KiB | 00m00s [132/156] Installing rpm-build-libs-0:4 100% | 101.3 MiB/s | 207.5 KiB | 00m00s [133/156] Installing libevent-0:2.1.12- 100% | 175.7 MiB/s | 899.5 KiB | 00m00s [134/156] Installing openldap-0:2.6.8-5 100% | 158.2 MiB/s | 648.0 KiB | 00m00s [135/156] Installing libcurl-0:8.10.1-2 100% | 205.0 MiB/s | 839.5 KiB | 00m00s [136/156] Installing elfutils-debuginfo 100% | 38.2 MiB/s | 78.2 KiB | 00m00s [137/156] Installing elfutils-0:0.192-3 100% | 222.1 MiB/s | 2.7 MiB | 00m00s [138/156] Installing binutils-0:2.43.50 100% | 244.5 MiB/s | 27.6 MiB | 00m00s [139/156] Installing gdb-minimal-0:15.2 100% | 265.2 MiB/s | 13.0 MiB | 00m00s [140/156] Installing debugedit-0:5.0-18 100% | 98.6 MiB/s | 202.0 KiB | 00m00s [141/156] Installing curl-0:8.10.1-2.fc 100% | 22.3 MiB/s | 455.8 KiB | 00m00s [142/156] Installing rpm-0:4.20.0-1.fc4 100% | 83.5 MiB/s | 2.5 MiB | 00m00s [143/156] Installing efi-srpm-macros-0: 100% | 40.2 MiB/s | 41.2 KiB | 00m00s [144/156] Installing lua-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [145/156] Installing zig-srpm-macros-0: 100% | 0.0 B/s | 1.7 KiB | 00m00s [146/156] Installing fonts-srpm-macros- 100% | 55.7 MiB/s | 57.0 KiB | 00m00s [147/156] Installing forge-srpm-macros- 100% | 39.3 MiB/s | 40.3 KiB | 00m00s [148/156] Installing go-srpm-macros-0:3 100% | 60.5 MiB/s | 62.0 KiB | 00m00s [149/156] Installing python-srpm-macros 100% | 50.9 MiB/s | 52.2 KiB | 00m00s [150/156] Installing redhat-rpm-config- 100% | 47.2 MiB/s | 193.2 KiB | 00m00s [151/156] Installing rpm-build-0:4.20.0 100% | 49.5 MiB/s | 202.9 KiB | 00m00s [152/156] Installing pyproject-srpm-mac 100% | 1.2 MiB/s | 2.5 KiB | 00m00s [153/156] Installing util-linux-0:2.40. 100% | 88.5 MiB/s | 3.7 MiB | 00m00s [154/156] Installing authselect-0:1.5.0 100% | 39.5 MiB/s | 161.9 KiB | 00m00s [155/156] Installing which-0:2.21-42.fc 100% | 40.2 MiB/s | 82.4 KiB | 00m00s warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead [156/156] Installing info-0:7.1.1-2.fc4 100% | 111.4 KiB/s | 362.2 KiB | 00m03s Complete! Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: add-determinism-0.4.3-1.fc42.x86_64 alternatives-1.30-1.fc41.x86_64 ansible-srpm-macros-1-16.fc41.noarch audit-libs-4.0.2-1.fc41.x86_64 authselect-1.5.0-8.fc42.x86_64 authselect-libs-1.5.0-8.fc42.x86_64 basesystem-11-21.fc41.noarch bash-5.2.32-2.fc42.x86_64 binutils-2.43.50-5.fc42.x86_64 build-reproducibility-srpm-macros-0.4.3-1.fc42.noarch bzip2-1.0.8-19.fc41.x86_64 bzip2-libs-1.0.8-19.fc41.x86_64 ca-certificates-2024.2.69_v8.0.401-2.fc42.noarch coreutils-9.5-10.fc42.x86_64 coreutils-common-9.5-10.fc42.x86_64 cpio-2.15-2.fc41.x86_64 cracklib-2.9.11-6.fc41.x86_64 crypto-policies-20241018-1.gitce922cb.fc42.noarch curl-8.10.1-2.fc42.x86_64 cyrus-sasl-lib-2.1.28-27.fc41.x86_64 debugedit-5.0-18.fc42.x86_64 diffutils-3.10-8.fc41.x86_64 dwz-0.15-8.fc42.x86_64 ed-1.20.2-2.fc41.x86_64 efi-srpm-macros-5-12.fc41.noarch elfutils-0.192-3.fc42.x86_64 elfutils-debuginfod-client-0.192-3.fc42.x86_64 elfutils-default-yama-scope-0.192-3.fc42.noarch elfutils-libelf-0.192-3.fc42.x86_64 elfutils-libs-0.192-3.fc42.x86_64 fedora-gpg-keys-42-0.3.noarch fedora-release-42-0.6.noarch fedora-release-common-42-0.6.noarch fedora-release-identity-basic-42-0.6.noarch fedora-repos-42-0.3.noarch fedora-repos-rawhide-42-0.3.noarch file-5.45-7.fc41.x86_64 file-libs-5.45-7.fc41.x86_64 filesystem-3.18-29.fc42.x86_64 findutils-4.10.0-4.fc41.x86_64 fonts-srpm-macros-2.0.5-17.fc41.noarch forge-srpm-macros-0.4.0-1.fc42.noarch fpc-srpm-macros-1.3-13.fc41.noarch gawk-5.3.0-4.fc41.x86_64 gdb-minimal-15.2-1.fc42.x86_64 gdbm-1.23-7.fc41.x86_64 gdbm-libs-1.23-7.fc41.x86_64 ghc-srpm-macros-1.9.2-1.fc42.noarch glibc-2.40.9000-7.fc42.x86_64 glibc-common-2.40.9000-7.fc42.x86_64 glibc-gconv-extra-2.40.9000-7.fc42.x86_64 glibc-minimal-langpack-2.40.9000-7.fc42.x86_64 gmp-6.3.0-2.fc41.x86_64 gnat-srpm-macros-6-6.fc41.noarch go-srpm-macros-3.6.0-3.fc41.noarch gpg-pubkey-105ef944-65ca83d1 gpg-pubkey-31645531-66b6dccf gpg-pubkey-e99d6ad1-64d2612c grep-3.11-9.fc41.x86_64 gzip-1.13-2.fc41.x86_64 info-7.1.1-2.fc42.x86_64 jansson-2.14-1.fc42.x86_64 json-c-0.17-4.fc41.x86_64 kernel-srpm-macros-1.0-24.fc41.noarch keyutils-libs-1.6.3-4.fc41.x86_64 krb5-libs-1.21.3-2.fc41.x86_64 libacl-2.3.2-2.fc41.x86_64 libarchive-3.7.6-1.fc42.x86_64 libattr-2.5.2-4.fc41.x86_64 libblkid-2.40.2-8.fc42.x86_64 libbrotli-1.1.0-5.fc41.x86_64 libcap-2.70-4.fc41.x86_64 libcap-ng-0.8.5-3.fc41.x86_64 libcom_err-1.47.1-6.fc42.x86_64 libcurl-8.10.1-2.fc42.x86_64 libeconf-0.7.4-2.fc42.x86_64 libevent-2.1.12-14.fc41.x86_64 libfdisk-2.40.2-8.fc42.x86_64 libffi-3.4.6-3.fc42.x86_64 libgcc-14.2.1-4.fc42.x86_64 libgomp-14.2.1-4.fc42.x86_64 libidn2-2.3.7-2.fc41.x86_64 libmount-2.40.2-8.fc42.x86_64 libnghttp2-1.64.0-1.fc42.x86_64 libnsl2-2.0.1-2.fc41.x86_64 libpkgconf-2.3.0-1.fc42.x86_64 libpsl-0.21.5-4.fc41.x86_64 libpwquality-1.4.5-11.fc41.x86_64 libselinux-3.7-6.fc42.x86_64 libsemanage-3.7-3.fc42.x86_64 libsepol-3.7-3.fc42.x86_64 libsmartcols-2.40.2-8.fc42.x86_64 libssh-0.11.1-1.fc42.x86_64 libssh-config-0.11.1-1.fc42.noarch libstdc++-14.2.1-4.fc42.x86_64 libtasn1-4.19.0-9.fc41.x86_64 libtirpc-1.3.6-0.fc42.x86_64 libtool-ltdl-2.4.7-12.fc41.x86_64 libunistring-1.1-8.fc41.x86_64 libuuid-2.40.2-8.fc42.x86_64 libverto-0.3.2-9.fc41.x86_64 libxcrypt-4.4.36-7.fc41.x86_64 libxml2-2.12.8-2.fc41.x86_64 libzstd-1.5.6-2.fc41.x86_64 lua-libs-5.4.7-1.fc42.x86_64 lua-srpm-macros-1-14.fc41.noarch lz4-libs-1.10.0-1.fc41.x86_64 mpfr-4.2.1-5.fc41.x86_64 ncurses-base-6.5-2.20240629.fc41.noarch ncurses-libs-6.5-2.20240629.fc41.x86_64 ocaml-srpm-macros-10-3.fc41.noarch openblas-srpm-macros-2-18.fc41.noarch openldap-2.6.8-5.fc41.x86_64 openssl-libs-3.2.2-8.fc42.x86_64 p11-kit-0.25.5-4.fc42.x86_64 p11-kit-trust-0.25.5-4.fc42.x86_64 package-notes-srpm-macros-0.5-12.fc41.noarch pam-1.6.1-8.fc42.x86_64 pam-libs-1.6.1-8.fc42.x86_64 patch-2.7.6-25.fc41.x86_64 pcre2-10.44-1.fc41.1.x86_64 pcre2-syntax-10.44-1.fc41.1.noarch perl-srpm-macros-1-56.fc41.noarch pkgconf-2.3.0-1.fc42.x86_64 pkgconf-m4-2.3.0-1.fc42.noarch pkgconf-pkg-config-2.3.0-1.fc42.x86_64 popt-1.19-7.fc41.x86_64 publicsuffix-list-dafsa-20240107-4.fc41.noarch pyproject-srpm-macros-1.15.1-1.fc42.noarch python-srpm-macros-3.13-3.fc41.noarch qt5-srpm-macros-5.15.15-1.fc42.noarch qt6-srpm-macros-6.8.0-1.fc42.noarch readline-8.2-11.fc42.x86_64 redhat-rpm-config-296-1.fc42.noarch rpm-4.20.0-1.fc42.x86_64 rpm-build-4.20.0-1.fc42.x86_64 rpm-build-libs-4.20.0-1.fc42.x86_64 rpm-libs-4.20.0-1.fc42.x86_64 rpm-sequoia-1.7.0-2.fc41.x86_64 rust-srpm-macros-26.3-3.fc42.noarch sed-4.9-3.fc41.x86_64 setup-2.15.0-5.fc41.noarch shadow-utils-4.16.0-6.fc42.x86_64 sqlite-libs-3.46.1-1.fc42.x86_64 systemd-libs-256.7-1.fc42.x86_64 tar-1.35-4.fc41.x86_64 unzip-6.0-64.fc41.x86_64 util-linux-2.40.2-8.fc42.x86_64 util-linux-core-2.40.2-8.fc42.x86_64 which-2.21-42.fc41.x86_64 xxhash-libs-0.8.2-4.fc42.x86_64 xz-5.6.3-2.fc42.x86_64 xz-libs-5.6.3-2.fc42.x86_64 zig-srpm-macros-1-3.fc41.noarch zip-3.0-41.fc41.x86_64 zlib-ng-compat-2.1.7-3.fc42.x86_64 zstd-1.5.6-2.fc41.x86_64 Start: buildsrpm Start: rpmbuild -bs Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1728432000 Wrote: /builddir/build/SRPMS/litert-2.17.0-1.fc42.src.rpm Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-rawhide-x86_64-1729849887.521630/root/var/log/dnf5.log Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-7rtcpajr/litert/litert.spec) Config(child) 0 minutes 35 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot INFO: Start(/var/lib/copr-rpmbuild/results/litert-2.17.0-1.fc42.src.rpm) Config(fedora-rawhide-x86_64) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1729849887.521630/root. INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1729849887.521630/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1729849887.521630/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-4.20.0-1.fc42.x86_64 rpm-sequoia-1.7.0-2.fc41.x86_64 dnf5-5.2.6.2-1.fc42.x86_64 dnf5-plugins-5.2.6.2-1.fc42.x86_64 Finish: chroot init Start: build phase for litert-2.17.0-1.fc42.src.rpm Start: build setup for litert-2.17.0-1.fc42.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1728432000 Wrote: /builddir/build/SRPMS/litert-2.17.0-1.fc42.src.rpm Updating and loading repositories: fedora 100% | 746.4 KiB/s | 26.1 KiB | 00m00s Copr repository 100% | 9.4 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: FP16-devel noarch 1.0^git20210317.0a92994-6.fc41 fedora 32.7 KiB abseil-cpp-devel x86_64 20240722.0-1.fc42 fedora 3.8 MiB clang x86_64 19.1.0-1.fc42 fedora 184.7 KiB cmake x86_64 3.28.3-7.fc41 fedora 31.6 MiB cpuinfo-devel x86_64 24.09.26-1.git1e83a2f.fc42 fedora 70.9 KiB eigen3-devel noarch 3.4.0-16.fc41 fedora 8.4 MiB flatbuffers-devel x86_64 24.3.25-4.fc41 fedora 469.5 KiB fxdiv-devel noarch 1.0^git20201208.63058ef-5.fc41 fedora 16.9 KiB git x86_64 2.47.0-1.fc42 fedora 85.2 KiB llvm x86_64 19.1.0-1.fc42 fedora 75.3 MiB opencl-headers noarch 3.0-30.20240412git8275634.fc41 fedora 738.3 KiB patchelf x86_64 0.18.0-5.fc41 fedora 283.6 KiB protobuf-devel x86_64 3.19.6-10.fc41 fedora 2.7 MiB psimd-devel noarch 20200517.072586a-4.fc41 fedora 45.6 KiB pthreadpool-devel x86_64 0.0^git20230829.4fe0e1e-5.fc41 fedora 99.1 KiB vulkan-headers noarch 1.3.296.0-1.fc42 fedora 26.9 MiB xnnpack-devel x86_64 0.0^git20240814.312eb7e-2.fc42 fedora 239.9 KiB Installing dependencies: abseil-cpp x86_64 20240722.0-1.fc42 fedora 2.6 MiB abseil-cpp-testing x86_64 20240722.0-1.fc42 fedora 591.6 KiB annobin-docs noarch 12.70-1.fc42 fedora 97.7 KiB annobin-plugin-gcc x86_64 12.70-1.fc42 fedora 985.6 KiB clang-libs x86_64 19.1.0-1.fc42 fedora 124.5 MiB clang-resource-filesystem x86_64 19.1.0-1.fc42 fedora 15.3 KiB cmake-data noarch 3.28.3-7.fc41 fedora 8.0 MiB cmake-filesystem x86_64 3.28.3-7.fc41 fedora 0.0 B cmake-rpm-macros noarch 3.28.3-7.fc41 fedora 7.5 KiB cpp x86_64 14.2.1-4.fc42 fedora 35.0 MiB cpuinfo x86_64 24.09.26-1.git1e83a2f.fc42 fedora 118.3 KiB emacs-filesystem noarch 1:30.0-3.fc41 fedora 0.0 B expat x86_64 2.6.3-1.fc42 fedora 291.5 KiB flatbuffers x86_64 24.3.25-4.fc41 fedora 532.7 KiB gcc x86_64 14.2.1-4.fc42 fedora 104.4 MiB gcc-c++ x86_64 14.2.1-4.fc42 fedora 38.2 MiB gcc-plugin-annobin x86_64 14.2.1-4.fc42 fedora 61.1 KiB git-core x86_64 2.47.0-1.fc42 fedora 22.6 MiB git-core-doc noarch 2.47.0-1.fc42 fedora 17.2 MiB glibc-devel x86_64 2.40.9000-7.fc42 fedora 37.8 KiB glibc-headers-x86 noarch 2.40.9000-7.fc42 fedora 2.2 MiB gmock x86_64 1.14.0-5.fc41 fedora 138.9 KiB groff-base x86_64 1.23.0-7.fc41 fedora 3.8 MiB gtest x86_64 1.14.0-5.fc41 fedora 489.6 KiB jsoncpp x86_64 1.9.5-8.fc41 fedora 253.4 KiB kernel-headers x86_64 6.12.0-0.rc4.39.fc42 fedora 6.4 MiB less x86_64 668-1.fc42 fedora 406.4 KiB libb2 x86_64 0.98.1-12.fc41 fedora 42.2 KiB libcbor x86_64 0.11.0-2.fc41 fedora 73.9 KiB libedit x86_64 3.1-53.20240808cvs.fc41 fedora 244.1 KiB libfido2 x86_64 1.15.0-2.fc41 fedora 238.2 KiB libmpc x86_64 1.3.1-6.fc41 fedora 164.7 KiB libstdc++-devel x86_64 14.2.1-4.fc42 fedora 15.4 MiB libuv x86_64 1:1.49.2-1.fc42 fedora 569.4 KiB libxcrypt-devel x86_64 4.4.36-7.fc41 fedora 30.3 KiB llvm-libs x86_64 19.1.0-1.fc42 fedora 124.5 MiB make x86_64 1:4.4.1-9.fc42 fedora 1.8 MiB mpdecimal x86_64 2.5.1-16.fc41 fedora 204.9 KiB ncurses x86_64 6.5-2.20240629.fc41 fedora 627.3 KiB openssh x86_64 9.9p1-4.fc42 fedora 1.4 MiB openssh-clients x86_64 9.9p1-4.fc42 fedora 2.7 MiB perl-AutoLoader noarch 5.74-512.fc42 fedora 20.5 KiB perl-B x86_64 1.89-512.fc42 fedora 498.0 KiB perl-Carp noarch 1.54-511.fc41 fedora 46.6 KiB perl-Class-Struct noarch 0.68-512.fc42 fedora 25.4 KiB perl-Data-Dumper x86_64 2.189-512.fc41 fedora 111.7 KiB perl-Digest noarch 1.20-511.fc41 fedora 35.3 KiB perl-Digest-MD5 x86_64 2.59-5.fc41 fedora 59.8 KiB perl-DynaLoader x86_64 1.56-512.fc42 fedora 32.1 KiB perl-Encode x86_64 4:3.21-511.fc41 fedora 4.7 MiB perl-Errno x86_64 1.38-512.fc42 fedora 8.4 KiB perl-Error noarch 1:0.17029-16.fc41 fedora 77.3 KiB perl-Exporter noarch 5.78-511.fc41 fedora 54.3 KiB perl-Fcntl x86_64 1.18-512.fc42 fedora 49.0 KiB perl-File-Basename noarch 2.86-512.fc42 fedora 14.0 KiB perl-File-Find noarch 1.44-512.fc42 fedora 41.9 KiB perl-File-Path noarch 2.18-511.fc41 fedora 63.5 KiB perl-File-Temp noarch 1:0.231.100-511.fc41 fedora 162.3 KiB perl-File-stat noarch 1.14-512.fc42 fedora 12.5 KiB perl-FileHandle noarch 2.05-512.fc42 fedora 9.3 KiB perl-Getopt-Long noarch 1:2.58-2.fc41 fedora 144.5 KiB perl-Getopt-Std noarch 1.14-512.fc42 fedora 11.2 KiB perl-Git noarch 2.47.0-1.fc42 fedora 64.0 KiB perl-HTTP-Tiny noarch 0.088-512.fc41 fedora 152.2 KiB perl-IO x86_64 1.55-512.fc42 fedora 151.1 KiB perl-IO-Socket-IP noarch 0.42-512.fc41 fedora 98.7 KiB perl-IO-Socket-SSL noarch 2.089-1.fc42 fedora 703.3 KiB perl-IPC-Open3 noarch 1.22-512.fc42 fedora 22.5 KiB perl-MIME-Base32 noarch 1.303-21.fc41 fedora 30.7 KiB perl-MIME-Base64 x86_64 3.16-511.fc41 fedora 46.1 KiB perl-Mozilla-CA noarch 20240924-1.fc42 fedora 10.3 KiB perl-Net-SSLeay x86_64 1.94-7.fc41 fedora 1.3 MiB perl-POSIX x86_64 2.20-512.fc42 fedora 235.1 KiB perl-PathTools x86_64 3.91-511.fc41 fedora 180.0 KiB perl-Pod-Escapes noarch 1:1.07-511.fc41 fedora 24.9 KiB perl-Pod-Perldoc noarch 3.28.01-512.fc41 fedora 163.7 KiB perl-Pod-Simple noarch 1:3.45-511.fc41 fedora 560.9 KiB perl-Pod-Usage noarch 4:2.03-511.fc41 fedora 84.8 KiB perl-Scalar-List-Utils x86_64 5:1.68-1.fc42 fedora 148.9 KiB perl-SelectSaver noarch 1.02-512.fc42 fedora 2.2 KiB perl-Socket x86_64 4:2.038-511.fc41 fedora 124.0 KiB perl-Storable x86_64 1:3.32-511.fc41 fedora 232.4 KiB perl-Symbol noarch 1.09-512.fc42 fedora 6.8 KiB perl-Term-ANSIColor noarch 5.01-512.fc41 fedora 97.5 KiB perl-Term-Cap noarch 1.18-511.fc41 fedora 29.3 KiB perl-TermReadKey x86_64 2.38-23.fc41 fedora 64.1 KiB perl-Text-ParseWords noarch 3.31-511.fc41 fedora 13.6 KiB perl-Text-Tabs+Wrap noarch 2024.001-511.fc41 fedora 22.6 KiB perl-Time-Local noarch 2:1.350-511.fc41 fedora 69.0 KiB perl-URI noarch 5.30-1.fc42 fedora 256.9 KiB perl-base noarch 2.27-512.fc42 fedora 12.5 KiB perl-constant noarch 1.33-512.fc41 fedora 26.2 KiB perl-if noarch 0.61.000-512.fc42 fedora 5.8 KiB perl-interpreter x86_64 4:5.40.0-512.fc42 fedora 122.3 KiB perl-lib x86_64 0.65-512.fc42 fedora 8.5 KiB perl-libnet noarch 3.15-512.fc41 fedora 289.4 KiB perl-libs x86_64 4:5.40.0-512.fc42 fedora 9.9 MiB perl-locale noarch 1.12-512.fc42 fedora 6.5 KiB perl-mro x86_64 1.29-512.fc42 fedora 45.6 KiB perl-overload noarch 1.37-512.fc42 fedora 71.5 KiB perl-overloading noarch 0.02-512.fc42 fedora 4.8 KiB perl-parent noarch 1:0.242-1.fc42 fedora 10.0 KiB perl-podlators noarch 1:6.0.2-2.fc41 fedora 317.5 KiB perl-vars noarch 1.05-512.fc42 fedora 3.9 KiB protobuf x86_64 3.19.6-10.fc41 fedora 3.3 MiB protobuf-compiler x86_64 3.19.6-10.fc41 fedora 2.5 MiB pthreadpool x86_64 0.0^git20230829.4fe0e1e-5.fc41 fedora 113.3 KiB python-pip-wheel noarch 24.2-2.fc42 fedora 1.2 MiB python3 x86_64 3.13.0-1.fc42 fedora 31.8 KiB python3-libs x86_64 3.13.0-1.fc42 fedora 40.4 MiB python3-peachpy noarch 0.2.0-2.fc41 fedora 13.3 MiB python3-six noarch 1.16.0-23.fc41 fedora 118.3 KiB rhash x86_64 1.4.5-1.fc42 fedora 359.3 KiB tzdata noarch 2024a-9.fc41 fedora 1.7 MiB vim-filesystem noarch 2:9.1.785-1.fc42 fedora 40.0 B xnnpack x86_64 0.0^git20240814.312eb7e-2.fc42 fedora 2.2 MiB zlib-ng-compat-devel x86_64 2.1.7-3.fc42 fedora 106.8 KiB Transaction Summary: Installing: 134 packages Total size of inbound packages is 200 MiB. Need to download 200 MiB. After this operation, 755 MiB extra will be used (install 755 MiB, remove 0 B). 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psimd-devel-0:2020 100% | 45.4 MiB/s | 46.4 KiB | 00m00s [134/136] Installing patchelf-0:0.18.0- 100% | 92.9 MiB/s | 285.4 KiB | 00m00s [135/136] Installing opencl-headers-0:3 100% | 361.9 MiB/s | 741.1 KiB | 00m00s warning: posix.fork(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.wait(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead warning: posix.exec(): .fork(), .exec(), .wait() and .redirect2null() are deprecated, use rpm.spawn() or rpm.execute() instead [136/136] Installing fxdiv-devel-0:1.0^ 100% | 80.0 KiB/s | 17.7 KiB | 00m00s Complete! Finish: build setup for litert-2.17.0-1.fc42.src.rpm Start: rpmbuild litert-2.17.0-1.fc42.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1728432000 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.thclOE + umask 022 + cd /builddir/build/BUILD/litert-2.17.0-build + test -d /builddir/build/BUILD/litert-2.17.0-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/litert-2.17.0-build + /usr/bin/rm -rf /builddir/build/BUILD/litert-2.17.0-build + /usr/bin/mkdir -p /builddir/build/BUILD/litert-2.17.0-build + /usr/bin/mkdir -p /builddir/build/BUILD/litert-2.17.0-build/SPECPARTS + RPM_EC=0 ++ jobs -p + exit 0 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.zv6Omj + umask 022 + cd /builddir/build/BUILD/litert-2.17.0-build + cd /builddir/build/BUILD/litert-2.17.0-build + rm -rf tensorflow-2.17.0 + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/tensorflow-2.17.0.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd tensorflow-2.17.0 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + /usr/lib/rpm/rpmuncompress /builddir/build/SOURCES/tensorflow-lite-native.patch + /usr/bin/patch -p1 -s --fuzz=0 --no-backup-if-mismatch -f + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + /usr/bin/cmake -S . -B redhat-linux-build -DCMAKE_C_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_CXX_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_Fortran_FLAGS_RELEASE:STRING=-DNDEBUG -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON -DCMAKE_INSTALL_DO_STRIP:BOOL=OFF -DCMAKE_INSTALL_PREFIX:PATH=/usr -DINCLUDE_INSTALL_DIR:PATH=/usr/include -DLIB_INSTALL_DIR:PATH=/usr/lib64 -DSYSCONF_INSTALL_DIR:PATH=/etc -DSHARE_INSTALL_PREFIX:PATH=/usr/share -DLIB_SUFFIX=64 -DBUILD_SHARED_LIBS:BOOL=ON -DTFLITE_ENABLE_GPU=ON -DSYSTEM_PTHREADPOOL=ON tensorflow/lite CMake Warning: Ignoring extra path from command line: "/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0" -- Setting build type to Release, for debug builds use'-DCMAKE_BUILD_TYPE=Debug'. -- The C compiler identification is GNU 14.2.1 -- The CXX compiler identification is GNU 14.2.1 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Found PkgConfig: /usr/bin/pkg-config (found version "2.3.0") -- Checking for module 'absl_any' -- Found absl_any, version 20240722 -- Checking for module 'absl_flat_hash_map' -- Found absl_flat_hash_map, version 20240722 -- Checking for module 'absl_flags' -- Found absl_flags, version 20240722 -- Checking for module 'absl_hash' -- Found absl_hash, version 20240722 -- Checking for module 'absl_status' -- Found absl_status, version 20240722 -- Checking for module 'absl_strings' -- Found absl_strings, version 20240722 -- Checking for module 'absl_synchronization' -- Found absl_synchronization, version 20240722 -- Checking for module 'absl_variant' -- Found absl_variant, version 20240722 -- Checking for module 'eigen3' -- Found eigen3, version 3.4.0 -- Performing Test FARMHASH_HAS_BUILTIN_EXPECT -- Performing Test FARMHASH_HAS_BUILTIN_EXPECT - Success CMake Warning (dev) at /usr/share/cmake/Modules/FetchContent.cmake:1331 (message): The DOWNLOAD_EXTRACT_TIMESTAMP option was not given and policy CMP0135 is not set. The policy's OLD behavior will be used. When using a URL download, the timestamps of extracted files should preferably be that of the time of extraction, otherwise code that depends on the extracted contents might not be rebuilt if the URL changes. The OLD behavior preserves the timestamps from the archive instead, but this is usually not what you want. Update your project to the NEW behavior or specify the DOWNLOAD_EXTRACT_TIMESTAMP option with a value of true to avoid this robustness issue. Call Stack (most recent call first): tools/cmake/modules/OverridableFetchContent.cmake:398 (FetchContent_Declare) tools/cmake/modules/fft2d.cmake:22 (OverridableFetchContent_Declare) tools/cmake/modules/Findfft2d.cmake:18 (include) CMakeLists.txt:160 (find_package) This warning is for project developers. Use -Wno-dev to suppress it. -- Proceeding with version: 24.3.25.4 -- Looking for strtof_l -- Looking for strtof_l - found -- Looking for strtoull_l -- Looking for strtoull_l - found -- Looking for realpath -- Looking for realpath - found -- CMAKE_CXX_FLAGS: -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer CMake Warning (dev) at /usr/share/cmake/Modules/CTest.cmake:50 (option): Policy CMP0077 is not set: option() honors normal variables. Run "cmake --help-policy CMP0077" for policy details. Use the cmake_policy command to set the policy and suppress this warning. For compatibility with older versions of CMake, option is clearing the normal variable 'BUILD_TESTING'. Call Stack (most recent call first): /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/contrib/CMakeLists.txt:10 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE CMake Warning (dev) at /usr/share/cmake/Modules/FetchContent.cmake:1331 (message): The DOWNLOAD_EXTRACT_TIMESTAMP option was not given and policy CMP0135 is not set. The policy's OLD behavior will be used. When using a URL download, the timestamps of extracted files should preferably be that of the time of extraction, otherwise code that depends on the extracted contents might not be rebuilt if the URL changes. The OLD behavior preserves the timestamps from the archive instead, but this is usually not what you want. Update your project to the NEW behavior or specify the DOWNLOAD_EXTRACT_TIMESTAMP option with a value of true to avoid this robustness issue. Call Stack (most recent call first): tools/cmake/modules/OverridableFetchContent.cmake:398 (FetchContent_Declare) tools/cmake/modules/neon2sse.cmake:25 (OverridableFetchContent_Declare) tools/cmake/modules/FindNEON_2_SSE.cmake:18 (include) CMakeLists.txt:164 (find_package) This warning is for project developers. Use -Wno-dev to suppress it. CMake Deprecation Warning at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse/CMakeLists.txt:4 (cmake_minimum_required): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- Checking for module 'libcpuinfo' -- Found libcpuinfo, version CMake Deprecation Warning at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- Checking for module 'OpenCL-Headers' -- Found OpenCL-Headers, version 3.0 -- opengl_headers '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/_opengl_headers_LICENSE_FILE-NOTFOUND' does not exist downloading https://www.apache.org/licenses/LICENSE-2.0.txt --> /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/opengl_headers_LICENSE.txt -- egl_headers '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/_egl_headers_LICENSE_FILE-NOTFOUND' does not exist downloading https://www.apache.org/licenses/LICENSE-2.0.txt --> /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/egl_headers_LICENSE.txt -- The ASM compiler identification is GNU -- Found assembler: /usr/bin/gcc -- Downloading cpuinfo to /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source (define CPUINFO_SOURCE_DIR to avoid it) -- Configuring done (0.0s) -- Generating done (0.0s) -- Build files have been written to: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-download [ 11%] Creating directories for 'cpuinfo' [ 22%] Performing download step (download, verify and extract) for 'cpuinfo' -- Downloading... dst='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-download/cpuinfo-prefix/src/d6860c477c99f1fce9e28eb206891af3c0e1a1d7.zip' timeout='none' inactivity timeout='none' -- Using src='https://github.com/pytorch/cpuinfo/archive/d6860c477c99f1fce9e28eb206891af3c0e1a1d7.zip' -- verifying file... file='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-download/cpuinfo-prefix/src/d6860c477c99f1fce9e28eb206891af3c0e1a1d7.zip' -- Downloading... done -- extracting... src='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-download/cpuinfo-prefix/src/d6860c477c99f1fce9e28eb206891af3c0e1a1d7.zip' dst='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source' -- extracting... [tar xfz] -- extracting... [analysis] -- extracting... [rename] -- extracting... [clean up] -- extracting... done [ 33%] No update step for 'cpuinfo' [ 44%] No patch step for 'cpuinfo' [ 55%] No configure step for 'cpuinfo' [ 66%] No build step for 'cpuinfo' [ 77%] No install step for 'cpuinfo' [ 88%] No test step for 'cpuinfo' [100%] Completed 'cpuinfo' [100%] Built target cpuinfo -- Downloading FP16 to /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source (define FP16_SOURCE_DIR to avoid it) -- Configuring done (0.0s) -- Generating done (0.0s) -- Build files have been written to: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-download [ 11%] Creating directories for 'fp16' [ 22%] Performing download step (download, verify and extract) for 'fp16' -- Downloading... dst='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-download/fp16-prefix/src/0a92994d729ff76a58f692d3028ca1b64b145d91.zip' timeout='none' inactivity timeout='none' -- Using src='https://github.com/Maratyszcza/FP16/archive/0a92994d729ff76a58f692d3028ca1b64b145d91.zip' -- [download 13% complete] -- [download 30% complete] -- [download 43% complete] -- [download 61% complete] -- [download 78% complete] -- [download 96% complete] -- [download 100% complete] -- verifying file... file='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-download/fp16-prefix/src/0a92994d729ff76a58f692d3028ca1b64b145d91.zip' -- Downloading... done -- extracting... src='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-download/fp16-prefix/src/0a92994d729ff76a58f692d3028ca1b64b145d91.zip' dst='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source' -- extracting... [tar xfz] -- extracting... [analysis] -- extracting... [rename] -- extracting... [clean up] -- extracting... done [ 33%] No update step for 'fp16' [ 44%] No patch step for 'fp16' [ 55%] No configure step for 'fp16' [ 66%] No build step for 'fp16' [ 77%] No install step for 'fp16' [ 88%] No test step for 'fp16' [100%] Completed 'fp16' [100%] Built target fp16 -- Downloading FXdiv to /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source (define FXDIV_SOURCE_DIR to avoid it) -- Configuring done (0.0s) -- Generating done (0.0s) -- Build files have been written to: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-download [ 11%] Creating directories for 'fxdiv' [ 22%] Performing download step (download, verify and extract) for 'fxdiv' -- Downloading... dst='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-download/fxdiv-prefix/src/b408327ac2a15ec3e43352421954f5b1967701d1.zip' timeout='none' inactivity timeout='none' -- Using src='https://github.com/Maratyszcza/FXdiv/archive/b408327ac2a15ec3e43352421954f5b1967701d1.zip' -- [download 71% complete] -- [download 100% complete] -- verifying file... file='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-download/fxdiv-prefix/src/b408327ac2a15ec3e43352421954f5b1967701d1.zip' -- Downloading... done -- extracting... src='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-download/fxdiv-prefix/src/b408327ac2a15ec3e43352421954f5b1967701d1.zip' dst='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source' -- extracting... [tar xfz] -- extracting... [analysis] -- extracting... [rename] -- extracting... [clean up] -- extracting... done [ 33%] No update step for 'fxdiv' [ 44%] No patch step for 'fxdiv' [ 55%] No configure step for 'fxdiv' [ 66%] No build step for 'fxdiv' [ 77%] No install step for 'fxdiv' [ 88%] No test step for 'fxdiv' [100%] Completed 'fxdiv' [100%] Built target fxdiv -- Downloading pthreadpool to /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source (define PTHREADPOOL_SOURCE_DIR to avoid it) -- Configuring done (0.0s) -- Generating done (0.0s) -- Build files have been written to: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-download [ 11%] Creating directories for 'pthreadpool' [ 22%] Performing download step (download, verify and extract) for 'pthreadpool' -- Downloading... dst='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-download/pthreadpool-prefix/src/4fe0e1e183925bf8cfa6aae24237e724a96479b8.zip' timeout='none' inactivity timeout='none' -- Using src='https://github.com/Maratyszcza/pthreadpool/archive/4fe0e1e183925bf8cfa6aae24237e724a96479b8.zip' -- verifying file... file='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-download/pthreadpool-prefix/src/4fe0e1e183925bf8cfa6aae24237e724a96479b8.zip' -- Downloading... done -- extracting... src='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-download/pthreadpool-prefix/src/4fe0e1e183925bf8cfa6aae24237e724a96479b8.zip' dst='/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source' -- extracting... [tar xfz] -- extracting... [analysis] -- extracting... [rename] -- extracting... [clean up] -- extracting... done [ 33%] No update step for 'pthreadpool' [ 44%] No patch step for 'pthreadpool' [ 55%] No configure step for 'pthreadpool' [ 66%] No build step for 'pthreadpool' [ 77%] No install step for 'pthreadpool' [ 88%] No test step for 'pthreadpool' [100%] Completed 'pthreadpool' [100%] Built target pthreadpool CMake Deprecation Warning at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- Downloading PSimd to /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/psimd-source (define PSIMD_SOURCE_DIR to avoid it) CMake Deprecation Warning at CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- Configuring done (0.0s) -- Generating done (0.0s) -- Build files have been written to: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/psimd-download [ 11%] Creating directories for 'psimd' [ 22%] Performing download step (git clone) for 'psimd' Cloning into 'psimd-source'... Already on 'master' Your branch is up to date with 'origin/master'. [ 33%] Performing update step for 'psimd' [ 44%] No patch step for 'psimd' [ 55%] No configure step for 'psimd' [ 66%] No build step for 'psimd' [ 77%] No install step for 'psimd' [ 88%] No test step for 'psimd' [100%] Completed 'psimd' [100%] Built target psimd CMake Deprecation Warning at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/psimd-source/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- -- 3.21.9.0 -- Performing Test protobuf_HAVE_LD_VERSION_SCRIPT -- Performing Test protobuf_HAVE_LD_VERSION_SCRIPT - Success -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS - Success -- Configuring done (79.5s) -- Generating done (1.0s) CMake Warning: Manually-specified variables were not used by the project: CMAKE_Fortran_FLAGS_RELEASE CMAKE_INSTALL_DO_STRIP INCLUDE_INSTALL_DIR LIB_INSTALL_DIR LIB_SUFFIX SHARE_INSTALL_PREFIX SYSCONF_INSTALL_DIR -- Build files have been written to: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.8sa3xT + umask 022 + cd /builddir/build/BUILD/litert-2.17.0-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd tensorflow-2.17.0 + /usr/bin/cmake --build redhat-linux-build -j2 --verbose Change Dir: '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' Run Build Command(s): /usr/bin/cmake -E env VERBOSE=1 /usr/bin/gmake -f Makefile -j2 /usr/bin/cmake -S/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite -B/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/bin/cmake -E cmake_progress_start /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/CMakeFiles /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build//CMakeFiles/progress.marks /usr/bin/gmake -f CMakeFiles/Makefile2 all gmake[1]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f pthreadpool/CMakeFiles/pthreadpool.dir/build.make pthreadpool/CMakeFiles/pthreadpool.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool/CMakeFiles/pthreadpool.dir/DependInfo.cmake "--color=" /usr/bin/gmake -f _deps/farmhash-build/CMakeFiles/farmhash.dir/build.make _deps/farmhash-build/CMakeFiles/farmhash.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/cmake/modules/farmhash /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/farmhash-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/farmhash-build/CMakeFiles/farmhash.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f pthreadpool/CMakeFiles/pthreadpool.dir/build.make pthreadpool/CMakeFiles/pthreadpool.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/farmhash-build/CMakeFiles/farmhash.dir/build.make _deps/farmhash-build/CMakeFiles/farmhash.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 0%] Building C object pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DPTHREADPOOL_USE_FASTPATH=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -D_GNU_SOURCE=1 -Dpthreadpool_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c11 -fPIC -Wno-psabi -pthread -MD -MT pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o -MF CMakeFiles/pthreadpool.dir/src/portable-api.c.o.d -o CMakeFiles/pthreadpool.dir/src/portable-api.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/src/portable-api.c [ 0%] Building CXX object _deps/farmhash-build/CMakeFiles/farmhash.dir/__/__/farmhash/src/farmhash.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/farmhash-build && /usr/bin/g++ -Dfarmhash_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -MD -MT _deps/farmhash-build/CMakeFiles/farmhash.dir/__/__/farmhash/src/farmhash.cc.o -MF CMakeFiles/farmhash.dir/__/__/farmhash/src/farmhash.cc.o.d -o CMakeFiles/farmhash.dir/__/__/farmhash/src/farmhash.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src/farmhash.cc [ 0%] Linking CXX shared library libfarmhash.so cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/farmhash-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/farmhash.dir/link.txt --verbose=1 /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -Wl,-soname,libfarmhash.so -o libfarmhash.so CMakeFiles/farmhash.dir/__/__/farmhash/src/farmhash.cc.o gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 0%] Built target farmhash /usr/bin/gmake -f _deps/fft2d-build/CMakeFiles/fft2d_fftsg.dir/build.make _deps/fft2d-build/CMakeFiles/fft2d_fftsg.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/cmake/modules/fft2d /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build/CMakeFiles/fft2d_fftsg.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/fft2d-build/CMakeFiles/fft2d_fftsg.dir/build.make _deps/fft2d-build/CMakeFiles/fft2d_fftsg.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 0%] Building C object _deps/fft2d-build/CMakeFiles/fft2d_fftsg.dir/__/__/fft2d/fftsg.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build && /usr/bin/gcc -Dfft2d_fftsg_EXPORTS -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -fPIC -MD -MT _deps/fft2d-build/CMakeFiles/fft2d_fftsg.dir/__/__/fft2d/fftsg.c.o -MF CMakeFiles/fft2d_fftsg.dir/__/__/fft2d/fftsg.c.o.d -o CMakeFiles/fft2d_fftsg.dir/__/__/fft2d/fftsg.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/fft2d/fftsg.c [ 0%] Building C object pthreadpool/CMakeFiles/pthreadpool.dir/src/memory.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DPTHREADPOOL_USE_FASTPATH=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -D_GNU_SOURCE=1 -Dpthreadpool_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c11 -fPIC -Wno-psabi -pthread -MD -MT pthreadpool/CMakeFiles/pthreadpool.dir/src/memory.c.o -MF CMakeFiles/pthreadpool.dir/src/memory.c.o.d -o CMakeFiles/pthreadpool.dir/src/memory.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/src/memory.c [ 0%] Building C object pthreadpool/CMakeFiles/pthreadpool.dir/src/pthreads.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DPTHREADPOOL_USE_FASTPATH=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -D_GNU_SOURCE=1 -Dpthreadpool_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c11 -fPIC -Wno-psabi -pthread -MD -MT pthreadpool/CMakeFiles/pthreadpool.dir/src/pthreads.c.o -MF CMakeFiles/pthreadpool.dir/src/pthreads.c.o.d -o CMakeFiles/pthreadpool.dir/src/pthreads.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/src/pthreads.c [ 0%] Linking C shared library libfft2d_fftsg.so cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/fft2d_fftsg.dir/link.txt --verbose=1 /usr/bin/gcc -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -Wl,-soname,libfft2d_fftsg.so -o libfft2d_fftsg.so CMakeFiles/fft2d_fftsg.dir/__/__/fft2d/fftsg.c.o -lm [ 0%] Building C object pthreadpool/CMakeFiles/pthreadpool.dir/src/fastpath.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DPTHREADPOOL_USE_FASTPATH=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -D_GNU_SOURCE=1 -Dpthreadpool_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c11 -fPIC -Wno-psabi -pthread -MD -MT pthreadpool/CMakeFiles/pthreadpool.dir/src/fastpath.c.o -MF CMakeFiles/pthreadpool.dir/src/fastpath.c.o.d -o CMakeFiles/pthreadpool.dir/src/fastpath.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/src/fastpath.c [ 0%] Linking C shared library libpthreadpool.so cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool && /usr/bin/cmake -E cmake_link_script CMakeFiles/pthreadpool.dir/link.txt --verbose=1 /usr/bin/gcc -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -Wl,-soname,libpthreadpool.so -o libpthreadpool.so "CMakeFiles/pthreadpool.dir/src/portable-api.c.o" CMakeFiles/pthreadpool.dir/src/memory.c.o CMakeFiles/pthreadpool.dir/src/pthreads.c.o CMakeFiles/pthreadpool.dir/src/fastpath.c.o gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 0%] Built target fft2d_fftsg /usr/bin/gmake -f _deps/flatbuffers-build/CMakeFiles/flatbuffers.dir/build.make _deps/flatbuffers-build/CMakeFiles/flatbuffers.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build/CMakeFiles/flatbuffers.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/flatbuffers-build/CMakeFiles/flatbuffers.dir/build.make _deps/flatbuffers-build/CMakeFiles/flatbuffers.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 0%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatbuffers.dir/src/idl_parser.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIC -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatbuffers.dir/src/idl_parser.cpp.o -MF CMakeFiles/flatbuffers.dir/src/idl_parser.cpp.o.d -o CMakeFiles/flatbuffers.dir/src/idl_parser.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_parser.cpp gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 0%] Built target pthreadpool /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/eight_bit_int_gemm.dir/build.make _deps/gemmlowp-build/CMakeFiles/eight_bit_int_gemm.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/contrib /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build/CMakeFiles/eight_bit_int_gemm.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/eight_bit_int_gemm.dir/build.make _deps/gemmlowp-build/CMakeFiles/eight_bit_int_gemm.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 0%] Building CXX object _deps/gemmlowp-build/CMakeFiles/eight_bit_int_gemm.dir/__/__/gemmlowp/eight_bit_int_gemm/eight_bit_int_gemm.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/g++ -DNOMINMAX=1 -Deight_bit_int_gemm_EXPORTS -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++11 -fPIC -MD -MT _deps/gemmlowp-build/CMakeFiles/eight_bit_int_gemm.dir/__/__/gemmlowp/eight_bit_int_gemm/eight_bit_int_gemm.cc.o -MF CMakeFiles/eight_bit_int_gemm.dir/__/__/gemmlowp/eight_bit_int_gemm/eight_bit_int_gemm.cc.o.d -o CMakeFiles/eight_bit_int_gemm.dir/__/__/gemmlowp/eight_bit_int_gemm/eight_bit_int_gemm.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/eight_bit_int_gemm/eight_bit_int_gemm.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/eight_bit_int_gemm/../public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/eight_bit_int_gemm/../public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/eight_bit_int_gemm/eight_bit_int_gemm.cc:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/eight_bit_int_gemm/../public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/eight_bit_int_gemm/../public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 1%] Linking CXX shared library libeight_bit_int_gemm.so cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/eight_bit_int_gemm.dir/link.txt --verbose=1 /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -Wl,-soname,libeight_bit_int_gemm.so -o libeight_bit_int_gemm.so CMakeFiles/eight_bit_int_gemm.dir/__/__/gemmlowp/eight_bit_int_gemm/eight_bit_int_gemm.cc.o [ 1%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatbuffers.dir/src/idl_gen_text.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIC -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatbuffers.dir/src/idl_gen_text.cpp.o -MF CMakeFiles/flatbuffers.dir/src/idl_gen_text.cpp.o.d -o CMakeFiles/flatbuffers.dir/src/idl_gen_text.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_text.cpp gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Built target eight_bit_int_gemm /usr/bin/gmake -f _deps/ruy-build/third_party/cpuinfo/deps/clog/CMakeFiles/clog.dir/build.make _deps/ruy-build/third_party/cpuinfo/deps/clog/CMakeFiles/clog.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/third_party/cpuinfo/deps/clog /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/third_party/cpuinfo/deps/clog/CMakeFiles/clog.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/third_party/cpuinfo/deps/clog/CMakeFiles/clog.dir/build.make _deps/ruy-build/third_party/cpuinfo/deps/clog/CMakeFiles/clog.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Building C object _deps/ruy-build/third_party/cpuinfo/deps/clog/CMakeFiles/clog.dir/src/clog.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/third_party/cpuinfo/deps/clog && /usr/bin/gcc -DCLOG_LOG_TO_STDIO=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -MD -MT _deps/ruy-build/third_party/cpuinfo/deps/clog/CMakeFiles/clog.dir/src/clog.c.o -MF CMakeFiles/clog.dir/src/clog.c.o.d -o CMakeFiles/clog.dir/src/clog.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/src/clog.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/src/clog.c: In function ‘clog_vlog_fatal’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/src/clog.c:112:25: warning: ignoring return value of ‘write’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 112 | write(STDERR_FILENO, out_buffer, prefix_chars + format_chars + CLOG_SUFFIX_LENGTH); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/src/clog.c: In function ‘clog_vlog_error’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/src/clog.c:188:25: warning: ignoring return value of ‘write’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 188 | write(STDERR_FILENO, out_buffer, prefix_chars + format_chars + CLOG_SUFFIX_LENGTH); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/src/clog.c: In function ‘clog_vlog_warning’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/src/clog.c:264:25: warning: ignoring return value of ‘write’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 264 | write(STDERR_FILENO, out_buffer, prefix_chars + format_chars + CLOG_SUFFIX_LENGTH); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/src/clog.c: In function ‘clog_vlog_info’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/src/clog.c:340:25: warning: ignoring return value of ‘write’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 340 | write(STDOUT_FILENO, out_buffer, prefix_chars + format_chars + CLOG_SUFFIX_LENGTH); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/src/clog.c: In function ‘clog_vlog_debug’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/src/clog.c:416:25: warning: ignoring return value of ‘write’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 416 | write(STDOUT_FILENO, out_buffer, prefix_chars + format_chars + CLOG_SUFFIX_LENGTH); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 1%] Linking C static library libclog.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/third_party/cpuinfo/deps/clog && /usr/bin/cmake -P CMakeFiles/clog.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/third_party/cpuinfo/deps/clog && /usr/bin/cmake -E cmake_link_script CMakeFiles/clog.dir/link.txt --verbose=1 /usr/bin/ar qc libclog.a CMakeFiles/clog.dir/src/clog.c.o /usr/bin/ranlib libclog.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Built target clog /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_wait.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_wait.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_wait.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_wait.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_wait.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_wait.dir/wait.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_wait.dir/wait.cc.o -MF CMakeFiles/ruy_wait.dir/wait.cc.o.d -o CMakeFiles/ruy_wait.dir/wait.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/wait.cc [ 1%] Linking CXX static library libruy_wait.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_wait.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_wait.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_wait.a CMakeFiles/ruy_wait.dir/wait.cc.o /usr/bin/ranlib libruy_wait.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Built target ruy_wait /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_system_aligned_alloc.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_system_aligned_alloc.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_system_aligned_alloc.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_system_aligned_alloc.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_system_aligned_alloc.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_system_aligned_alloc.dir/system_aligned_alloc.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_system_aligned_alloc.dir/system_aligned_alloc.cc.o -MF CMakeFiles/ruy_system_aligned_alloc.dir/system_aligned_alloc.cc.o.d -o CMakeFiles/ruy_system_aligned_alloc.dir/system_aligned_alloc.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/system_aligned_alloc.cc [ 1%] Linking CXX static library libruy_system_aligned_alloc.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_system_aligned_alloc.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_system_aligned_alloc.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_system_aligned_alloc.a CMakeFiles/ruy_system_aligned_alloc.dir/system_aligned_alloc.cc.o /usr/bin/ranlib libruy_system_aligned_alloc.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Built target ruy_system_aligned_alloc /usr/bin/gmake -f _deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_instrumentation.dir/build.make _deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_instrumentation.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/profiler /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/profiler /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_instrumentation.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_instrumentation.dir/build.make _deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_instrumentation.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Building CXX object _deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_instrumentation.dir/instrumentation.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/profiler && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -MD -MT _deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_instrumentation.dir/instrumentation.cc.o -MF CMakeFiles/ruy_profiler_instrumentation.dir/instrumentation.cc.o.d -o CMakeFiles/ruy_profiler_instrumentation.dir/instrumentation.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/profiler/instrumentation.cc [ 1%] Linking CXX static library libruy_profiler_instrumentation.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/profiler && /usr/bin/cmake -P CMakeFiles/ruy_profiler_instrumentation.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/profiler && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_profiler_instrumentation.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_profiler_instrumentation.a CMakeFiles/ruy_profiler_instrumentation.dir/instrumentation.cc.o /usr/bin/ranlib libruy_profiler_instrumentation.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Built target ruy_profiler_instrumentation /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_allocator.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_allocator.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_allocator.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_allocator.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_allocator.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_allocator.dir/allocator.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_allocator.dir/allocator.cc.o -MF CMakeFiles/ruy_allocator.dir/allocator.cc.o.d -o CMakeFiles/ruy_allocator.dir/allocator.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/allocator.cc [ 1%] Linking CXX static library libruy_allocator.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_allocator.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_allocator.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_allocator.a CMakeFiles/ruy_allocator.dir/allocator.cc.o /usr/bin/ranlib libruy_allocator.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Built target ruy_allocator /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_block_map.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_block_map.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_block_map.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_block_map.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_block_map.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_block_map.dir/block_map.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_block_map.dir/block_map.cc.o -MF CMakeFiles/ruy_block_map.dir/block_map.cc.o.d -o CMakeFiles/ruy_block_map.dir/block_map.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/block_map.cc [ 1%] Linking CXX static library libruy_block_map.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_block_map.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_block_map.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_block_map.a CMakeFiles/ruy_block_map.dir/block_map.cc.o /usr/bin/ranlib libruy_block_map.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Built target ruy_block_map /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_blocking_counter.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_blocking_counter.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_blocking_counter.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_blocking_counter.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_blocking_counter.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_blocking_counter.dir/blocking_counter.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_blocking_counter.dir/blocking_counter.cc.o -MF CMakeFiles/ruy_blocking_counter.dir/blocking_counter.cc.o.d -o CMakeFiles/ruy_blocking_counter.dir/blocking_counter.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/blocking_counter.cc [ 1%] Linking CXX static library libruy_blocking_counter.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_blocking_counter.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_blocking_counter.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_blocking_counter.a CMakeFiles/ruy_blocking_counter.dir/blocking_counter.cc.o /usr/bin/ranlib libruy_blocking_counter.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Built target ruy_blocking_counter /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_denormal.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_denormal.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_denormal.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_denormal.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_denormal.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 1%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_denormal.dir/denormal.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_denormal.dir/denormal.cc.o -MF CMakeFiles/ruy_denormal.dir/denormal.cc.o.d -o CMakeFiles/ruy_denormal.dir/denormal.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/denormal.cc [ 2%] Linking CXX static library libruy_denormal.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_denormal.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_denormal.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_denormal.a CMakeFiles/ruy_denormal.dir/denormal.cc.o /usr/bin/ranlib libruy_denormal.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Built target ruy_denormal /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_apply_multiplier.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_apply_multiplier.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_apply_multiplier.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_apply_multiplier.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_apply_multiplier.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_apply_multiplier.dir/apply_multiplier.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_apply_multiplier.dir/apply_multiplier.cc.o -MF CMakeFiles/ruy_apply_multiplier.dir/apply_multiplier.cc.o.d -o CMakeFiles/ruy_apply_multiplier.dir/apply_multiplier.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/apply_multiplier.cc [ 2%] Linking CXX static library libruy_apply_multiplier.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_apply_multiplier.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_apply_multiplier.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_apply_multiplier.a CMakeFiles/ruy_apply_multiplier.dir/apply_multiplier.cc.o /usr/bin/ranlib libruy_apply_multiplier.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Built target ruy_apply_multiplier /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx512.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx512.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx512.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx512.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx512.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx512.dir/have_built_path_for_avx512.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -mavx512f -mavx512vl -mavx512cd -mavx512bw -mavx512dq -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx512.dir/have_built_path_for_avx512.cc.o -MF CMakeFiles/ruy_have_built_path_for_avx512.dir/have_built_path_for_avx512.cc.o.d -o CMakeFiles/ruy_have_built_path_for_avx512.dir/have_built_path_for_avx512.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/have_built_path_for_avx512.cc [ 2%] Linking CXX static library libruy_have_built_path_for_avx512.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_have_built_path_for_avx512.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_have_built_path_for_avx512.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_have_built_path_for_avx512.a CMakeFiles/ruy_have_built_path_for_avx512.dir/have_built_path_for_avx512.cc.o /usr/bin/ranlib libruy_have_built_path_for_avx512.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Built target ruy_have_built_path_for_avx512 /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx2_fma.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx2_fma.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx2_fma.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx2_fma.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx2_fma.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx2_fma.dir/have_built_path_for_avx2_fma.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -mavx2 -mfma -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx2_fma.dir/have_built_path_for_avx2_fma.cc.o -MF CMakeFiles/ruy_have_built_path_for_avx2_fma.dir/have_built_path_for_avx2_fma.cc.o.d -o CMakeFiles/ruy_have_built_path_for_avx2_fma.dir/have_built_path_for_avx2_fma.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/have_built_path_for_avx2_fma.cc [ 2%] Linking CXX static library libruy_have_built_path_for_avx2_fma.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_have_built_path_for_avx2_fma.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_have_built_path_for_avx2_fma.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_have_built_path_for_avx2_fma.a CMakeFiles/ruy_have_built_path_for_avx2_fma.dir/have_built_path_for_avx2_fma.cc.o /usr/bin/ranlib libruy_have_built_path_for_avx2_fma.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Built target ruy_have_built_path_for_avx2_fma /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx.dir/have_built_path_for_avx.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -mavx -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_have_built_path_for_avx.dir/have_built_path_for_avx.cc.o -MF CMakeFiles/ruy_have_built_path_for_avx.dir/have_built_path_for_avx.cc.o.d -o CMakeFiles/ruy_have_built_path_for_avx.dir/have_built_path_for_avx.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/have_built_path_for_avx.cc [ 2%] Linking CXX static library libruy_have_built_path_for_avx.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_have_built_path_for_avx.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_have_built_path_for_avx.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_have_built_path_for_avx.a CMakeFiles/ruy_have_built_path_for_avx.dir/have_built_path_for_avx.cc.o /usr/bin/ranlib libruy_have_built_path_for_avx.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Built target ruy_have_built_path_for_avx [ 2%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatbuffers.dir/src/reflection.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIC -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatbuffers.dir/src/reflection.cpp.o -MF CMakeFiles/flatbuffers.dir/src/reflection.cpp.o.d -o CMakeFiles/flatbuffers.dir/src/reflection.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/reflection.cpp /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/build.make _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/build.make _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/scalar.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/scalar.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c In file included from /usr/include/c++/14/algorithm:60, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/flatbuffers.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/reflection_generated.h:7, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/reflection.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/reflection.cpp:17: In function ‘std::__copy_move::__copy_m(unsigned char const*, unsigned char const*, unsigned char*)unsigned char*’, inlined from ‘std::__copy_move_a2(unsigned char const*, unsigned char const*, unsigned char*)unsigned char*’ at /usr/include/c++/14/bits/stl_algobase.h:521:30, inlined from ‘std::__copy_move_a1(unsigned char const*, unsigned char const*, unsigned char*)unsigned char*’ at /usr/include/c++/14/bits/stl_algobase.h:548:42, inlined from ‘std::__copy_move_a(unsigned char const*, unsigned char const*, unsigned char*)unsigned char*’ at /usr/include/c++/14/bits/stl_algobase.h:555:31, inlined from ‘std::copy(unsigned char const*, unsigned char const*, unsigned char*)unsigned char*’ at /usr/include/c++/14/bits/stl_algobase.h:651:7, inlined from ‘std::__uninitialized_copy::__uninit_copy(unsigned char const*, unsigned char const*, unsigned char*)unsigned char*’ at /usr/include/c++/14/bits/stl_uninitialized.h:147:27, inlined from ‘std::uninitialized_copy(unsigned char const*, unsigned char const*, unsigned char*)unsigned char*’ at /usr/include/c++/14/bits/stl_uninitialized.h:185:15, inlined from ‘std::__uninitialized_copy_a(unsigned char const*, unsigned char const*, unsigned char*, std::allocator&)unsigned char*’ at /usr/include/c++/14/bits/stl_uninitialized.h:373:37, inlined from ‘std::vector >::_M_range_insert(__gnu_cxx::__normal_iterator > >, unsigned char const*, unsigned char const*, std::forward_iterator_tag)void’ at /usr/include/c++/14/bits/vector.tcc:1022:38, inlined from ‘std::vector >::insert(__gnu_cxx::__normal_iterator > >, unsigned char const*, unsigned char const*)__gnu_cxx::__normal_iterator > >’ at /usr/include/c++/14/bits/stl_vector.h:1488:19, inlined from ‘flatbuffers::AddFlatBuffer(std::vector >&, unsigned char const*, unsigned long)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/reflection.cpp:621:17: /usr/include/c++/14/bits/stl_algobase.h:452:30: warning: ‘memcpy’ writing between 2 and 9223372036854775807 bytes into a region of size 0 overflows the destination [-Wstringop-overflow=] 452 | __builtin_memmove(__result, __first, sizeof(_Tp) * _Num); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/14/x86_64-redhat-linux/bits/c++allocator.h:33, from /usr/include/c++/14/bits/allocator.h:46, from /usr/include/c++/14/memory:65, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/array.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/flatbuffers.h:24: In member function ‘std::__new_allocator::allocate(unsigned long, void const*)’, inlined from ‘std::allocator_traits >::allocate(std::allocator&, unsigned long)’ at /usr/include/c++/14/bits/alloc_traits.h:478:28, inlined from ‘std::_Vector_base >::_M_allocate(unsigned long)’ at /usr/include/c++/14/bits/stl_vector.h:380:33, inlined from ‘std::vector >::_M_range_insert(__gnu_cxx::__normal_iterator > >, unsigned char const*, unsigned char const*, std::forward_iterator_tag)void’ at /usr/include/c++/14/bits/vector.tcc:1013:40, inlined from ‘std::vector >::insert(__gnu_cxx::__normal_iterator > >, unsigned char const*, unsigned char const*)__gnu_cxx::__normal_iterator > >’ at /usr/include/c++/14/bits/stl_vector.h:1488:19, inlined from ‘flatbuffers::AddFlatBuffer(std::vector >&, unsigned char const*, unsigned long)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/reflection.cpp:621:17: /usr/include/c++/14/bits/new_allocator.h:151:55: note: at offset [-9223372036854775808, -4] into destination object of size [4, 9223372036854775807] allocated by ‘operator new(unsigned long)’ 151 | return static_cast<_Tp*>(_GLIBCXX_OPERATOR_NEW(__n * sizeof(_Tp))); | ^ [ 2%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatbuffers.dir/src/util.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIC -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatbuffers.dir/src/util.cpp.o -MF CMakeFiles/flatbuffers.dir/src/util.cpp.o.d -o CMakeFiles/flatbuffers.dir/src/util.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/util.cpp [ 2%] Linking CXX static library libflatbuffers.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/cmake -P CMakeFiles/flatbuffers.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/flatbuffers.dir/link.txt --verbose=1 /usr/bin/ar qc libflatbuffers.a CMakeFiles/flatbuffers.dir/src/idl_parser.cpp.o CMakeFiles/flatbuffers.dir/src/idl_gen_text.cpp.o CMakeFiles/flatbuffers.dir/src/reflection.cpp.o CMakeFiles/flatbuffers.dir/src/util.cpp.o /usr/bin/ranlib libflatbuffers.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Built target flatbuffers /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/logging.dir/build.make _deps/xnnpack-build/CMakeFiles/logging.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build/CMakeFiles/logging.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/logging.dir/build.make _deps/xnnpack-build/CMakeFiles/logging.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Building C object _deps/xnnpack-build/CMakeFiles/logging.dir/src/enums/allocation-type.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/logging.dir/src/enums/allocation-type.c.o -MF CMakeFiles/logging.dir/src/enums/allocation-type.c.o.d -o CMakeFiles/logging.dir/src/enums/allocation-type.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/enums/allocation-type.c [ 2%] Building C object _deps/xnnpack-build/CMakeFiles/logging.dir/src/enums/datatype-strings.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/logging.dir/src/enums/datatype-strings.c.o -MF CMakeFiles/logging.dir/src/enums/datatype-strings.c.o.d -o CMakeFiles/logging.dir/src/enums/datatype-strings.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/enums/datatype-strings.c [ 2%] Building C object _deps/xnnpack-build/CMakeFiles/logging.dir/src/enums/microkernel-type.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/logging.dir/src/enums/node-type.c.o -MF CMakeFiles/logging.dir/src/enums/node-type.c.o.d -o CMakeFiles/logging.dir/src/enums/node-type.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/enums/node-type.c [ 2%] Building C object 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-DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/log.c:59:13: warning: ‘xnn_vlog’ defined but not used [-Wunused-function] 59 | static void xnn_vlog(int output_handle, const char* prefix, size_t prefix_length, const char* format, va_list args) { | ^~~~~~~~ gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Built target logging /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/indirection.dir/build.make _deps/xnnpack-build/CMakeFiles/indirection.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/indirection.dir/src/indirection.c.o -MF CMakeFiles/indirection.dir/src/indirection.c.o.d -o CMakeFiles/indirection.dir/src/indirection.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/indirection.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4__scalar’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:14745:59: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 14745 | const int32_t vinput_zero_point1 = quantization_params[1].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:14706:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 14706 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:14750:59: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 14750 | const int32_t vinput_zero_point2 = quantization_params[2].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:14706:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 14706 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:14755:59: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 14755 | const int32_t vinput_zero_point3 = quantization_params[3].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:14706:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 14706 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:14847:52: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 14847 | const float vinput_scale1 = quantization_params[1].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:14706:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 14706 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:14852:52: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 14852 | const float vinput_scale2 = quantization_params[2].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:14706:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 14706 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:14857:52: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 14857 | const float vinput_scale3 = quantization_params[3].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:14706:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 14706 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Built target indirection /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/jit.dir/build.make _deps/xnnpack-build/CMakeFiles/jit.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build 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-DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++14 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/jit.dir/src/jit/aarch32-assembler.cc.o -MF CMakeFiles/jit.dir/src/jit/aarch32-assembler.cc.o.d -o CMakeFiles/jit.dir/src/jit/aarch32-assembler.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/jit/aarch32-assembler.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x2__scalar’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15246:59: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 15246 | const int32_t vinput_zero_point1 = quantization_params[1].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15224:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 15224 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15276:52: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 15276 | const float vinput_scale1 = quantization_params[1].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15224:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 15224 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4__scalar’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15381:59: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 15381 | const int32_t vinput_zero_point1 = quantization_params[1].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15343:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 15343 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15386:59: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 15386 | const int32_t vinput_zero_point2 = quantization_params[2].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15343:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 15343 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15391:59: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 15391 | const int32_t vinput_zero_point3 = quantization_params[3].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15343:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 15343 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15453:52: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 15453 | const float vinput_scale1 = quantization_params[1].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15343:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 15343 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15458:52: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 15458 | const float vinput_scale2 = quantization_params[2].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15343:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 15343 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15463:52: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 15463 | const float vinput_scale3 = quantization_params[3].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/scalar.c:15343:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 15343 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 2%] Building CXX object _deps/xnnpack-build/CMakeFiles/jit.dir/src/jit/aarch64-assembler.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/g++ -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++14 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/jit.dir/src/jit/aarch64-assembler.cc.o -MF CMakeFiles/jit.dir/src/jit/aarch64-assembler.cc.o.d -o CMakeFiles/jit.dir/src/jit/aarch64-assembler.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/jit/aarch64-assembler.cc [ 2%] Building CXX object _deps/xnnpack-build/CMakeFiles/jit.dir/src/jit/assembler.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/g++ -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++14 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/jit.dir/src/jit/assembler.cc.o -MF CMakeFiles/jit.dir/src/jit/assembler.cc.o.d -o CMakeFiles/jit.dir/src/jit/assembler.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/jit/assembler.cc gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 2%] Built target jit /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/microparams-init.dir/build.make _deps/xnnpack-build/CMakeFiles/microparams-init.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' 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Building C object _deps/xnnpack-build/CMakeFiles/microparams-init.dir/src/microparams-init.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/microparams-init.dir/src/microparams-init.c.o -MF CMakeFiles/microparams-init.dir/src/microparams-init.c.o.d -o CMakeFiles/microparams-init.dir/src/microparams-init.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/microparams-init.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target microparams-init /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/normalization.dir/build.make _deps/xnnpack-build/CMakeFiles/normalization.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build/CMakeFiles/normalization.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/normalization.dir/build.make _deps/xnnpack-build/CMakeFiles/normalization.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/normalization.dir/src/normalization.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/normalization.dir/src/normalization.c.o -MF CMakeFiles/normalization.dir/src/normalization.c.o.d -o CMakeFiles/normalization.dir/src/normalization.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/normalization.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target normalization /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/packing.dir/build.make _deps/xnnpack-build/CMakeFiles/packing.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build/CMakeFiles/packing.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/packing.dir/build.make _deps/xnnpack-build/CMakeFiles/packing.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/packing.dir/src/packing.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/packing.dir/src/packing.c.o -MF CMakeFiles/packing.dir/src/packing.c.o.d -o CMakeFiles/packing.dir/src/packing.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/packing.c [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/sse.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/sse.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/sse.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/sse.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target packing /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/allocator.dir/build.make _deps/xnnpack-build/CMakeFiles/allocator.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build/CMakeFiles/allocator.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/allocator.dir/build.make _deps/xnnpack-build/CMakeFiles/allocator.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/allocator.dir/src/allocator.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/allocator.dir/src/allocator.c.o -MF CMakeFiles/allocator.dir/src/allocator.c.o.d -o CMakeFiles/allocator.dir/src/allocator.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/allocator.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target allocator /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/memory.dir/build.make _deps/xnnpack-build/CMakeFiles/memory.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build/CMakeFiles/memory.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/memory.dir/build.make _deps/xnnpack-build/CMakeFiles/memory.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/memory.dir/src/memory.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu99 -fPIC -Wno-psabi -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/memory.dir/src/memory.c.o -MF CMakeFiles/memory.dir/src/memory.c.o.d -o CMakeFiles/memory.dir/src/memory.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/memory.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target memory /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/microkernel-utils.dir/build.make _deps/xnnpack-build/CMakeFiles/microkernel-utils.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build/CMakeFiles/microkernel-utils.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/microkernel-utils.dir/build.make _deps/xnnpack-build/CMakeFiles/microkernel-utils.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernel-utils.dir/src/microkernel-utils.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernel-utils.dir/src/microkernel-utils.c.o -MF CMakeFiles/microkernel-utils.dir/src/microkernel-utils.c.o.d -o CMakeFiles/microkernel-utils.dir/src/microkernel-utils.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/microkernel-utils.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target microkernel-utils /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/mutex.dir/build.make _deps/xnnpack-build/CMakeFiles/mutex.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build/CMakeFiles/mutex.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/mutex.dir/build.make _deps/xnnpack-build/CMakeFiles/mutex.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/mutex.dir/src/mutex.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/mutex.dir/src/mutex.c.o -MF CMakeFiles/mutex.dir/src/mutex.c.o.d -o CMakeFiles/mutex.dir/src/mutex.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/mutex.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target mutex /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/operator-utils.dir/build.make _deps/xnnpack-build/CMakeFiles/operator-utils.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build/CMakeFiles/operator-utils.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/operator-utils.dir/build.make _deps/xnnpack-build/CMakeFiles/operator-utils.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/operator-utils.dir/src/operator-utils.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operator-utils.dir/src/operator-utils.c.o -MF CMakeFiles/operator-utils.dir/src/operator-utils.c.o.d -o CMakeFiles/operator-utils.dir/src/operator-utils.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operator-utils.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target operator-utils /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/post-operation.dir/build.make _deps/xnnpack-build/CMakeFiles/post-operation.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build/CMakeFiles/post-operation.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/post-operation.dir/build.make _deps/xnnpack-build/CMakeFiles/post-operation.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/post-operation.dir/src/operators/post-operation.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/post-operation.dir/src/operators/post-operation.c.o -MF CMakeFiles/post-operation.dir/src/operators/post-operation.c.o.d -o CMakeFiles/post-operation.dir/src/operators/post-operation.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operators/post-operation.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target post-operation /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/operator-run.dir/build.make _deps/xnnpack-build/CMakeFiles/operator-run.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build/CMakeFiles/operator-run.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/operator-run.dir/build.make _deps/xnnpack-build/CMakeFiles/operator-run.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/operator-run.dir/src/operator-run.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operator-run.dir/src/operator-run.c.o -MF CMakeFiles/operator-run.dir/src/operator-run.c.o.d -o CMakeFiles/operator-run.dir/src/operator-run.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operator-run.c [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/sse2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/sse2.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/sse2.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/sse2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target operator-run /usr/bin/gmake -f _deps/fft2d-build/CMakeFiles/fft2d_alloc.dir/build.make _deps/fft2d-build/CMakeFiles/fft2d_alloc.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/cmake/modules/fft2d /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build/CMakeFiles/fft2d_alloc.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/fft2d-build/CMakeFiles/fft2d_alloc.dir/build.make _deps/fft2d-build/CMakeFiles/fft2d_alloc.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building C object _deps/fft2d-build/CMakeFiles/fft2d_alloc.dir/__/__/fft2d/alloc.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build && /usr/bin/gcc -Dfft2d_alloc_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/fft2d -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -fPIC -MD -MT _deps/fft2d-build/CMakeFiles/fft2d_alloc.dir/__/__/fft2d/alloc.c.o -MF CMakeFiles/fft2d_alloc.dir/__/__/fft2d/alloc.c.o.d -o CMakeFiles/fft2d_alloc.dir/__/__/fft2d/alloc.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/fft2d/alloc.c [ 3%] Linking C shared library libfft2d_alloc.so cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/fft2d_alloc.dir/link.txt --verbose=1 /usr/bin/gcc -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -Wl,-soname,libfft2d_alloc.so -o libfft2d_alloc.so CMakeFiles/fft2d_alloc.dir/__/__/fft2d/alloc.c.o gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target fft2d_alloc /usr/bin/gmake -f _deps/fft2d-build/CMakeFiles/fft2d_fft4f2d.dir/build.make _deps/fft2d-build/CMakeFiles/fft2d_fft4f2d.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/cmake/modules/fft2d /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build/CMakeFiles/fft2d_fft4f2d.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/fft2d-build/CMakeFiles/fft2d_fft4f2d.dir/build.make _deps/fft2d-build/CMakeFiles/fft2d_fft4f2d.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building C object _deps/fft2d-build/CMakeFiles/fft2d_fft4f2d.dir/__/__/fft2d/fft4f2d.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build && /usr/bin/gcc -Dfft2d_fft4f2d_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/fft2d -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -fPIC -MD -MT _deps/fft2d-build/CMakeFiles/fft2d_fft4f2d.dir/__/__/fft2d/fft4f2d.c.o -MF CMakeFiles/fft2d_fft4f2d.dir/__/__/fft2d/fft4f2d.c.o.d -o CMakeFiles/fft2d_fft4f2d.dir/__/__/fft2d/fft4f2d.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/fft2d/fft4f2d.c [ 3%] Linking C shared library libfft2d_fft4f2d.so cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/fft2d_fft4f2d.dir/link.txt --verbose=1 /usr/bin/gcc -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -Wl,-soname,libfft2d_fft4f2d.so -o libfft2d_fft4f2d.so CMakeFiles/fft2d_fft4f2d.dir/__/__/fft2d/fft4f2d.c.o In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/xmmintrin.h:1322, from /usr/lib/gcc/x86_64-redhat-linux/14/include/immintrin.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c:10: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse2_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c:3039:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse2_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c:3003:46: note: object ‘quantization_params’ of size [0, 8] 3003 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse2_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c:3042:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse2_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c:3003:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 3003 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse2_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c:3524:41: gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse2_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c:3495:46: note: object ‘quantization_params’ of size [0, 8] 3495 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c:3527:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3527 | __m128i vinput_zero_point2 = _mm_cvtsi32_si128(*((const int*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c:3495:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 3495 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘_mm_load1_ps’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse2_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c:3642:34: /usr/lib/gcc/x86_64-redhat-linux/14/include/xmmintrin.h:920:10: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 920 | return _mm_set1_ps (*__P); | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse2_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c:3495:46: note: at offset 20 into object ‘quantization_params’ of size [0, 8] 3495 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 3%] Built target fft2d_fft4f2d /usr/bin/gmake -f _deps/fft2d-build/CMakeFiles/fft2d_fftsg3d.dir/build.make _deps/fft2d-build/CMakeFiles/fft2d_fftsg3d.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/cmake/modules/fft2d /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build/CMakeFiles/fft2d_fftsg3d.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/fft2d-build/CMakeFiles/fft2d_fftsg3d.dir/build.make _deps/fft2d-build/CMakeFiles/fft2d_fftsg3d.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building C object _deps/fft2d-build/CMakeFiles/fft2d_fftsg3d.dir/__/__/fft2d/fftsg3d.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build && /usr/bin/gcc -Dfft2d_fftsg3d_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/fft2d -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -fPIC -MD -MT _deps/fft2d-build/CMakeFiles/fft2d_fftsg3d.dir/__/__/fft2d/fftsg3d.c.o -MF CMakeFiles/fft2d_fftsg3d.dir/__/__/fft2d/fftsg3d.c.o.d -o CMakeFiles/fft2d_fftsg3d.dir/__/__/fft2d/fftsg3d.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/fft2d/fftsg3d.c [ 3%] Linking C shared library libfft2d_fftsg3d.so cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/fft2d_fftsg3d.dir/link.txt --verbose=1 /usr/bin/gcc -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -Wl,-soname,libfft2d_fftsg3d.so -o libfft2d_fftsg3d.so CMakeFiles/fft2d_fftsg3d.dir/__/__/fft2d/fftsg3d.c.o -Wl,-rpath,/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build libfft2d_fftsg.so -lm gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target fft2d_fftsg3d /usr/bin/gmake -f _deps/fft2d-build/CMakeFiles/fft2d_shrtdct.dir/build.make _deps/fft2d-build/CMakeFiles/fft2d_shrtdct.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/cmake/modules/fft2d /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build/CMakeFiles/fft2d_shrtdct.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/fft2d-build/CMakeFiles/fft2d_shrtdct.dir/build.make _deps/fft2d-build/CMakeFiles/fft2d_shrtdct.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building C object _deps/fft2d-build/CMakeFiles/fft2d_shrtdct.dir/__/__/fft2d/shrtdct.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build && /usr/bin/gcc -Dfft2d_shrtdct_EXPORTS -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -fPIC -MD -MT _deps/fft2d-build/CMakeFiles/fft2d_shrtdct.dir/__/__/fft2d/shrtdct.c.o -MF CMakeFiles/fft2d_shrtdct.dir/__/__/fft2d/shrtdct.c.o.d -o CMakeFiles/fft2d_shrtdct.dir/__/__/fft2d/shrtdct.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/fft2d/shrtdct.c [ 3%] Linking C shared library libfft2d_shrtdct.so cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/fft2d_shrtdct.dir/link.txt --verbose=1 /usr/bin/gcc -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -Wl,-soname,libfft2d_shrtdct.so -o libfft2d_shrtdct.so CMakeFiles/fft2d_shrtdct.dir/__/__/fft2d/shrtdct.c.o gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target fft2d_shrtdct /usr/bin/gmake -f _deps/flatbuffers-build/CMakeFiles/flatc.dir/build.make _deps/flatbuffers-build/CMakeFiles/flatc.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build/CMakeFiles/flatc.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/flatbuffers-build/CMakeFiles/flatc.dir/build.make _deps/flatbuffers-build/CMakeFiles/flatc.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_parser.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_parser.cpp.o -MF CMakeFiles/flatc.dir/src/idl_parser.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_parser.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_parser.cpp [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/ssse3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mssse3 -mno-sse4.1 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/ssse3.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/ssse3.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/ssse3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/ssse3.c [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/sse41.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/sse41.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/sse41.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/sse41.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/xmmintrin.h:1322, from /usr/lib/gcc/x86_64-redhat-linux/14/include/immintrin.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c:8: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse41_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c:2183:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse41_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c:2153:46: note: object ‘quantization_params’ of size [0, 8] 2153 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c:2186:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2186 | __m128i vinput_zero_point2 = _mm_cvtsi32_si128(*((const int*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c:2153:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 2153 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘_mm_load1_ps’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse41_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c:2349:34: /usr/lib/gcc/x86_64-redhat-linux/14/include/xmmintrin.h:920:10: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 920 | return _mm_set1_ps (*__P); | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse41_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c:2153:46: note: at offset 20 into object ‘quantization_params’ of size [0, 8] 2153 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse41_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c:2569:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse41_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c:2540:46: note: object ‘quantization_params’ of size [0, 8] 2540 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c:2572:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2572 | __m128i vinput_zero_point2 = _mm_cvtsi32_si128(*((const int*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c:2540:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 2540 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘_mm_load1_ps’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse41_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c:2657:34: /usr/lib/gcc/x86_64-redhat-linux/14/include/xmmintrin.h:920:10: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 920 | return _mm_set1_ps (*__P); | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse41_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse41.c:2540:46: note: at offset 20 into object ‘quantization_params’ of size [0, 8] 2540 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/immintrin.h:43, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx.c:10: In function ‘_mm256_maskload_ps’, inlined from ‘xnn_f32_rdsum_ukernel_7p7x__avx_c32’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx.c:3868:28: /usr/lib/gcc/x86_64-redhat-linux/14/include/avxintrin.h:980:19: warning: ‘vmask’ may be used uninitialized [-Wmaybe-uninitialized] 980 | return (__m256) __builtin_ia32_maskloadps256 ((const __v8sf *)__P, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 981 | (__v8si)__M); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx.c: In function ‘xnn_f32_rdsum_ukernel_7p7x__avx_c32’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx.c:3784:11: note: ‘vmask’ was declared here 3784 | __m256i vmask; | ^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__avx_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx.c:6834:89: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 6834 | const __m128i vinput_zero_point2 = _mm_castps_si128(_mm_broadcast_ss((const float*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx.c:6796:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 6796 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx.c:6835:89: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 6835 | const __m128i vinput_zero_point3 = _mm_castps_si128(_mm_broadcast_ss((const float*) &quantization_params[3].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx.c:6796:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 6796 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx.c:7027:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 7027 | const __m128 vinput_scale2 = _mm_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx.c:6796:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 6796 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx.c:7028:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 7028 | const __m128 vinput_scale3 = _mm_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx.c:6796:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 6796 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/f16c.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/f16c.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/f16c.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/f16c.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/f16c.c [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/fma3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/fma3.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/fma3.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/fma3.c [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx2.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx2.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_3x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:3222:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3222 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:3176:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 3176 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:3227:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3227 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:3176:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 3176 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:3390:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3390 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:3176:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 3176 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_3x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:3645:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3645 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:3600:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 3600 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:3650:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3650 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:3600:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 3600 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:3716:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3716 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:3600:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 3600 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:4405:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 4405 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:4359:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 4359 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:4410:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 4410 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:4359:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 4359 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:4573:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 4573 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:4359:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 4359 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:4830:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 4830 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:4785:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 4785 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:4835:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 4835 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:4785:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 4785 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:4901:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 4901 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx2.c:4785:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 4785 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_text.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_text.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_text.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_text.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_text.cpp [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512f.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512f.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512f.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512f.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512f.c [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/reflection.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/reflection.cpp.o -MF CMakeFiles/flatc.dir/src/reflection.cpp.o.d -o CMakeFiles/flatc.dir/src/reflection.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/reflection.cpp [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512skx.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512skx.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c In file included from /usr/include/c++/14/algorithm:60, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/flatbuffers.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/reflection_generated.h:7, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/reflection.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/reflection.cpp:17: In function ‘std::__copy_move::__copy_m(unsigned char const*, unsigned char const*, unsigned char*)unsigned char*’, inlined from ‘std::__copy_move_a2(unsigned char const*, unsigned char const*, unsigned char*)unsigned char*’ at /usr/include/c++/14/bits/stl_algobase.h:521:30, inlined from ‘std::__copy_move_a1(unsigned char const*, unsigned char const*, unsigned char*)unsigned char*’ at /usr/include/c++/14/bits/stl_algobase.h:548:42, inlined from ‘std::__copy_move_a(unsigned char const*, unsigned char const*, unsigned char*)unsigned char*’ at /usr/include/c++/14/bits/stl_algobase.h:555:31, inlined from ‘std::copy(unsigned char const*, unsigned char const*, unsigned char*)unsigned char*’ at /usr/include/c++/14/bits/stl_algobase.h:651:7, inlined from ‘std::__uninitialized_copy::__uninit_copy(unsigned char const*, unsigned char const*, unsigned char*)unsigned char*’ at /usr/include/c++/14/bits/stl_uninitialized.h:147:27, inlined from ‘std::uninitialized_copy(unsigned char const*, unsigned char const*, unsigned char*)unsigned char*’ at /usr/include/c++/14/bits/stl_uninitialized.h:185:15, inlined from ‘std::__uninitialized_copy_a(unsigned char const*, unsigned char const*, unsigned char*, std::allocator&)unsigned char*’ at /usr/include/c++/14/bits/stl_uninitialized.h:373:37, inlined from ‘std::vector >::_M_range_insert(__gnu_cxx::__normal_iterator > >, unsigned char const*, unsigned char const*, std::forward_iterator_tag)void’ at /usr/include/c++/14/bits/vector.tcc:1022:38, inlined from ‘std::vector >::insert(__gnu_cxx::__normal_iterator > >, unsigned char const*, unsigned char const*)__gnu_cxx::__normal_iterator > >’ at /usr/include/c++/14/bits/stl_vector.h:1488:19, inlined from ‘flatbuffers::AddFlatBuffer(std::vector >&, unsigned char const*, unsigned long)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/reflection.cpp:621:17: /usr/include/c++/14/bits/stl_algobase.h:452:30: warning: ‘memcpy’ writing between 2 and 9223372036854775807 bytes into a region of size 0 overflows the destination [-Wstringop-overflow=] 452 | __builtin_memmove(__result, __first, sizeof(_Tp) * _Num); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/14/x86_64-redhat-linux/bits/c++allocator.h:33, from /usr/include/c++/14/bits/allocator.h:46, from /usr/include/c++/14/memory:65, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/array.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/flatbuffers.h:24: In member function ‘std::__new_allocator::allocate(unsigned long, void const*)’, inlined from ‘std::allocator_traits >::allocate(std::allocator&, unsigned long)’ at /usr/include/c++/14/bits/alloc_traits.h:478:28, inlined from ‘std::_Vector_base >::_M_allocate(unsigned long)’ at /usr/include/c++/14/bits/stl_vector.h:380:33, inlined from ‘std::vector >::_M_range_insert(__gnu_cxx::__normal_iterator > >, unsigned char const*, unsigned char const*, std::forward_iterator_tag)void’ at /usr/include/c++/14/bits/vector.tcc:1013:40, inlined from ‘std::vector >::insert(__gnu_cxx::__normal_iterator > >, unsigned char const*, unsigned char const*)__gnu_cxx::__normal_iterator > >’ at /usr/include/c++/14/bits/stl_vector.h:1488:19, inlined from ‘flatbuffers::AddFlatBuffer(std::vector >&, unsigned char const*, unsigned long)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/reflection.cpp:621:17: /usr/include/c++/14/bits/new_allocator.h:151:55: note: at offset [-9223372036854775808, -4] into destination object of size [4, 9223372036854775807] allocated by ‘operator new(unsigned long)’ 151 | return static_cast<_Tp*>(_GLIBCXX_OPERATOR_NEW(__n * sizeof(_Tp))); | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_5x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:1762:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1762 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:1704:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 1704 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:1767:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1767 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:1704:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 1704 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:1772:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1772 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:1704:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 1704 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:1777:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1777 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:1704:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 1704 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:1992:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1992 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:1704:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 1704 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:1994:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1994 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:1704:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 1704 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:1996:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1996 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:1704:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 1704 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_5x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2241:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2241 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2184:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 2184 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2246:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2246 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2184:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 2184 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2251:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2251 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2184:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 2184 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2256:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2256 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2184:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 2184 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2344:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2344 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2184:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 2184 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2346:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2346 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2184:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 2184 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2348:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2348 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2184:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 2184 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3047:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3047 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2994:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 2994 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3048:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3048 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2994:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 2994 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3049:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3049 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2994:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 2994 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3050:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3050 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2994:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 2994 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3051:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3051 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2994:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 2994 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3052:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3052 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2994:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 2994 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3341:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3341 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2994:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 2994 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3342:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3342 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2994:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 2994 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3343:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3343 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2994:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 2994 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3344:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3344 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2994:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 2994 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3345:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3345 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2994:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 2994 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3346:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3346 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:2994:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 2994 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3589:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3589 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3536:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 3536 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3590:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3590 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3536:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 3536 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3591:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3591 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3536:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 3536 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3592:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3592 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3536:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 3536 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3593:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3593 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3536:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 3536 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3594:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3594 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3536:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 3536 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3737:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3737 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3536:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 3536 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3738:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3738 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3536:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 3536 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3739:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3739 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3536:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 3536 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3740:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3740 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3536:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 3536 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3741:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3741 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3536:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 3536 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3742:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 3742 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512skx.c:3536:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 3536 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/util.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/util.cpp.o -MF CMakeFiles/flatc.dir/src/util.cpp.o.d -o CMakeFiles/flatc.dir/src/util.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/util.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_binary.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_binary.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_binary.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_binary.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_binary.cpp [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512vbmi.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vbmi -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512vbmi.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512vbmi.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512vbmi.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vbmi.c [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512vnni.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512vnni.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_7x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:198:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 198 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:146:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 146 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:199:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 199 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:146:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 146 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:200:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 200 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:146:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 146 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:201:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 201 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:146:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 146 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:202:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 202 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:146:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 146 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:203:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 203 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:146:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 146 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:373:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 373 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:146:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 146 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:374:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 374 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:146:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 146 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:375:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 375 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:146:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 146 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:376:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 376 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:146:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 146 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:377:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 377 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:146:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 146 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:378:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 378 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:146:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 146 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_7x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:627:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 627 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:575:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 575 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:628:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 628 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:575:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 575 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:629:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 629 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:575:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 575 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:630:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 630 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:575:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 575 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:631:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 631 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:575:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 575 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:632:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 632 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:575:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 575 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:789:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 789 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:575:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 575 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:790:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 790 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:575:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 575 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:791:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 791 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:575:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 575 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:792:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 792 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:575:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 575 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:793:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 793 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:575:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 575 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:794:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 794 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:575:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 575 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1629:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1629 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1577:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 1577 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1630:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1630 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1577:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 1577 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1631:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1631 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1577:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 1577 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1632:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1632 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1577:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 1577 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1633:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1633 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1577:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 1577 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1634:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1634 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1577:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 1577 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1814:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1814 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1577:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 1577 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1815:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1815 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1577:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 1577 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1816:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1816 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1577:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 1577 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1817:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1817 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1577:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 1577 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1818:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1818 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1577:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 1577 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1819:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1819 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1577:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 1577 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1953:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1953 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1901:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 1901 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1954:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1954 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1901:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 1901 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1955:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1955 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1901:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 1901 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1956:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1956 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1901:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 1901 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1957:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1957 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1901:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 1901 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1958:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1958 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1901:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 1901 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2128:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2128 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1901:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 1901 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2129:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2129 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1901:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 1901 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2130:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2130 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1901:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 1901 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2131:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2131 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1901:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 1901 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2132:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2132 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1901:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 1901 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2133:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2133 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:1901:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 1901 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2492:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2492 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2440:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 2440 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2493:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2493 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2440:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 2440 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2494:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2494 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2440:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 2440 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2495:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2495 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2440:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 2440 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2496:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2496 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2440:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 2440 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2497:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2497 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2440:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 2440 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2665:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2665 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2440:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 2440 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2666:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2666 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2440:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 2440 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2667:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2667 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2440:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 2440 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2668:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2668 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2440:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 2440 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2669:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2669 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2440:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 2440 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2670:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2670 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2440:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 2440 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2804:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2804 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2752:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 2752 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2805:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2805 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2752:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 2752 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2806:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2806 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2752:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 2752 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2807:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2807 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2752:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 2752 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2808:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2808 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2752:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 2752 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2809:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2809 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2752:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 2752 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2966:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2966 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2752:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 2752 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2967:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2967 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2752:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 2752 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2968:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2968 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2752:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 2752 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2969:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2969 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2752:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 2752 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2970:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2970 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2752:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 2752 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2971:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2971 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnni.c:2752:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 2752 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_cpp.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_cpp.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_cpp.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_cpp.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_cpp.cpp [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512vnnigfni.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_7x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:197:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 197 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:145:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 145 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:198:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 198 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:145:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 145 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:199:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 199 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:145:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 145 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:200:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 200 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:145:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 145 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:201:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 201 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:145:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 145 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:202:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 202 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:145:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 145 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:371:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 371 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:145:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 145 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:372:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 372 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:145:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 145 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:373:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 373 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:145:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 145 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:374:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 374 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:145:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 145 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:375:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 375 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:145:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 145 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:376:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 376 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:145:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 145 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x16c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:753:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 753 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:701:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 701 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:754:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 754 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:701:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 701 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:755:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 755 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:701:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 701 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:756:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 756 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:701:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 701 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:757:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 757 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:701:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 701 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:758:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 758 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:701:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 701 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:937:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 937 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:701:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 701 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:938:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 938 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:701:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 701 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:939:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 939 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:701:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 701 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:940:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 940 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:701:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 701 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:941:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 941 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:701:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 701 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:942:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 942 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:701:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 701 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1076:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1076 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1024:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 1024 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1077:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1077 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1024:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 1024 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1078:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1078 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1024:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 1024 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1079:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1079 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1024:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 1024 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1080:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1080 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1024:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 1024 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1081:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1081 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1024:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 1024 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1250:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1250 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1024:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 1024 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1251:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1251 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1024:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 1024 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1252:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1252 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1024:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 1024 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1253:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1253 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1024:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 1024 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1254:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1254 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1024:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 1024 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1255:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1255 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512vnnigfni.c:1024:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 1024 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512amx.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512amx.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_16x64c4__avx512amx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:207:123: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 207 | __m512i vacc1x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[1].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:211:123: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 211 | __m512i vacc2x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[2].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:215:123: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 215 | __m512i vacc3x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[3].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:219:123: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | __m512i vacc4x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[4].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:223:123: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 223 | __m512i vacc5x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[5].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:227:123: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 227 | __m512i vacc6x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[6].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:231:123: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 231 | __m512i vacc7x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[7].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:235:123: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | __m512i vacc8x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[8].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:239:123: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 239 | __m512i vacc9x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[9].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:243:124: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 243 | __m512i vacc10x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[10].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:247:124: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 247 | __m512i vacc11x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[11].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:251:124: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 251 | __m512i vacc12x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[12].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:255:124: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 255 | __m512i vacc13x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[13].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:259:124: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | __m512i vacc14x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[14].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:263:124: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 263 | __m512i vacc15x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[15].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:401:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 401 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:405:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 405 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:409:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 409 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:413:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 413 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:417:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 417 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:421:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 421 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:425:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 425 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:429:108: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 429 | vscaled8x0123456789ABCDEF = _mm512_mul_ps(vscaled8x0123456789ABCDEF, _mm512_set1_ps(quantization_params[8].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:433:108: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 433 | vscaled9x0123456789ABCDEF = _mm512_mul_ps(vscaled9x0123456789ABCDEF, _mm512_set1_ps(quantization_params[9].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:437:110: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 437 | vscaled10x0123456789ABCDEF = _mm512_mul_ps(vscaled10x0123456789ABCDEF, _mm512_set1_ps(quantization_params[10].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:441:110: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 441 | vscaled11x0123456789ABCDEF = _mm512_mul_ps(vscaled11x0123456789ABCDEF, _mm512_set1_ps(quantization_params[11].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:445:110: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 445 | vscaled12x0123456789ABCDEF = _mm512_mul_ps(vscaled12x0123456789ABCDEF, _mm512_set1_ps(quantization_params[12].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:449:110: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 449 | vscaled13x0123456789ABCDEF = _mm512_mul_ps(vscaled13x0123456789ABCDEF, _mm512_set1_ps(quantization_params[13].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:453:110: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 453 | vscaled14x0123456789ABCDEF = _mm512_mul_ps(vscaled14x0123456789ABCDEF, _mm512_set1_ps(quantization_params[14].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:457:110: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 457 | vscaled15x0123456789ABCDEF = _mm512_mul_ps(vscaled15x0123456789ABCDEF, _mm512_set1_ps(quantization_params[15].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:27:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_16x64c4__avx512amx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2619:123: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2619 | __m512i vacc1x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[1].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2623:123: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2623 | __m512i vacc2x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[2].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2627:123: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2627 | __m512i vacc3x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[3].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2631:123: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2631 | __m512i vacc4x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[4].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2635:123: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2635 | __m512i vacc5x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[5].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2639:123: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2639 | __m512i vacc6x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[6].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2643:123: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2643 | __m512i vacc7x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[7].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2647:123: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2647 | __m512i vacc8x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[8].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2651:123: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2651 | __m512i vacc9x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[9].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2655:124: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2655 | __m512i vacc10x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[10].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2659:124: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2659 | __m512i vacc11x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[11].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2663:124: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2663 | __m512i vacc12x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[12].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2667:124: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2667 | __m512i vacc13x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[13].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2671:124: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2671 | __m512i vacc14x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[14].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2675:124: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2675 | __m512i vacc15x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[15].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2813:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2813 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2817:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2817 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2821:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2821 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2825:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2825 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2829:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2829 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2833:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2833 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2837:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2837 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2841:108: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2841 | vscaled8x0123456789ABCDEF = _mm512_mul_ps(vscaled8x0123456789ABCDEF, _mm512_set1_ps(quantization_params[8].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2845:108: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2845 | vscaled9x0123456789ABCDEF = _mm512_mul_ps(vscaled9x0123456789ABCDEF, _mm512_set1_ps(quantization_params[9].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2849:110: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2849 | vscaled10x0123456789ABCDEF = _mm512_mul_ps(vscaled10x0123456789ABCDEF, _mm512_set1_ps(quantization_params[10].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2853:110: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2853 | vscaled11x0123456789ABCDEF = _mm512_mul_ps(vscaled11x0123456789ABCDEF, _mm512_set1_ps(quantization_params[11].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2857:110: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2857 | vscaled12x0123456789ABCDEF = _mm512_mul_ps(vscaled12x0123456789ABCDEF, _mm512_set1_ps(quantization_params[12].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2861:110: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2861 | vscaled13x0123456789ABCDEF = _mm512_mul_ps(vscaled13x0123456789ABCDEF, _mm512_set1_ps(quantization_params[13].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2865:110: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2865 | vscaled14x0123456789ABCDEF = _mm512_mul_ps(vscaled14x0123456789ABCDEF, _mm512_set1_ps(quantization_params[14].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2869:110: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 2869 | vscaled15x0123456789ABCDEF = _mm512_mul_ps(vscaled15x0123456789ABCDEF, _mm512_set1_ps(quantization_params[15].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512amx.c:2439:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 2439 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512fp16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512fp16.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512fp16.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avx512fp16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avx512fp16.c [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avxvnni.c.o -MF CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avxvnni.c.o.d -o CMakeFiles/microkernels-prod.dir/src/amalgam/gen/avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_5x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:196:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 196 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:156:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 156 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:197:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 197 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:156:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 156 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:198:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 198 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:156:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 156 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:199:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 199 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:156:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 156 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:333:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 333 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:156:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 156 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:334:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 334 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:156:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 156 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:335:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 335 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:156:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 156 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:336:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 336 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:156:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 156 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_5x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:601:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 601 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:561:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 561 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:602:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 602 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:561:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 561 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:603:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 603 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:561:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 561 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:604:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 604 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:561:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 561 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:727:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 727 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:561:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 561 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:728:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 728 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:561:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 561 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:729:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 729 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:561:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 561 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:730:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 730 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:561:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 561 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1434:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1434 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1394:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 1394 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1435:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1435 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1394:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 1394 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1436:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1436 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1394:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 1394 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1437:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1437 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1394:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 1394 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1571:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1571 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1394:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 1394 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1572:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1572 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1394:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 1394 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1573:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1573 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1394:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 1394 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1574:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1574 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1394:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 1394 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_5x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1839:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1839 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1799:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 1799 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1840:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1840 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1799:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 1799 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1841:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1841 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1799:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 1799 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1842:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1842 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1799:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 1799 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1965:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1965 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1799:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 1799 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1966:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1966 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1799:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 1799 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1967:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1967 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1799:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 1799 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1968:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 1968 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/avxvnni.c:1799:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 1799 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/tables/exp2-k-over-64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-32.c.o -MF CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-32.c.o.d -o CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/exp2minus-k-over-32.c [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/exp2minus-k-over-64.c [ 3%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-2048.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-prod.dir/src/tables/vlog.c.o -MF CMakeFiles/microkernels-prod.dir/src/tables/vlog.c.o.d -o CMakeFiles/microkernels-prod.dir/src/tables/vlog.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/vlog.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target microkernels-prod /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/benchmark.dir/build.make _deps/gemmlowp-build/CMakeFiles/benchmark.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/contrib /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build/CMakeFiles/benchmark.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/benchmark.dir/build.make _deps/gemmlowp-build/CMakeFiles/benchmark.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building CXX object _deps/gemmlowp-build/CMakeFiles/benchmark.dir/__/__/gemmlowp/test/benchmark.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/g++ -DNOMINMAX=1 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++11 -fPIE -MD -MT _deps/gemmlowp-build/CMakeFiles/benchmark.dir/__/__/gemmlowp/test/benchmark.cc.o -MF CMakeFiles/benchmark.dir/__/__/gemmlowp/test/benchmark.cc.o.d -o CMakeFiles/benchmark.dir/__/__/gemmlowp/test/benchmark.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/benchmark.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.h:30, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/benchmark.cc:29: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 3%] Linking CXX executable benchmark cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/benchmark.dir/link.txt --verbose=1 /usr/bin/g++ -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes CMakeFiles/benchmark.dir/__/__/gemmlowp/test/benchmark.cc.o -o benchmark gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target benchmark /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/benchmark_all_sizes.dir/build.make _deps/gemmlowp-build/CMakeFiles/benchmark_all_sizes.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/contrib /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build/CMakeFiles/benchmark_all_sizes.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/benchmark_all_sizes.dir/build.make _deps/gemmlowp-build/CMakeFiles/benchmark_all_sizes.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building CXX object _deps/gemmlowp-build/CMakeFiles/benchmark_all_sizes.dir/__/__/gemmlowp/test/benchmark_all_sizes.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/g++ -DNOMINMAX=1 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++11 -fPIE -DBENCHMARK_8bit -DBENCHMARK_QUICK -MD -MT _deps/gemmlowp-build/CMakeFiles/benchmark_all_sizes.dir/__/__/gemmlowp/test/benchmark_all_sizes.cc.o -MF CMakeFiles/benchmark_all_sizes.dir/__/__/gemmlowp/test/benchmark_all_sizes.cc.o.d -o CMakeFiles/benchmark_all_sizes.dir/__/__/gemmlowp/test/benchmark_all_sizes.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/benchmark_all_sizes.cc [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_csharp.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_csharp.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_csharp.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_csharp.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_csharp.cpp In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/benchmark_all_sizes.cc:17: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/benchmark_all_sizes.cc: In function ‘float benchmark_8bit(int, int, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/benchmark_all_sizes.cc:131:7: warning: typedef ‘Pipeline’ locally defined but not used [-Wunused-local-typedefs] 131 | Pipeline; | ^~~~~~~~ [ 3%] Linking CXX executable benchmark_all_sizes cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/benchmark_all_sizes.dir/link.txt --verbose=1 /usr/bin/g++ -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes CMakeFiles/benchmark_all_sizes.dir/__/__/gemmlowp/test/benchmark_all_sizes.cc.o -o benchmark_all_sizes gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Built target benchmark_all_sizes /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/test_gemmlowp.dir/build.make _deps/gemmlowp-build/CMakeFiles/test_gemmlowp.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/contrib /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build/CMakeFiles/test_gemmlowp.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/test_gemmlowp.dir/build.make _deps/gemmlowp-build/CMakeFiles/test_gemmlowp.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 3%] Building CXX object _deps/gemmlowp-build/CMakeFiles/test_gemmlowp.dir/__/__/gemmlowp/test/test.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/g++ -DNOMINMAX=1 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++11 -fPIE -MD -MT _deps/gemmlowp-build/CMakeFiles/test_gemmlowp.dir/__/__/gemmlowp/test/test.cc.o -MF CMakeFiles/test_gemmlowp.dir/__/__/gemmlowp/test/test.cc.o.d -o CMakeFiles/test_gemmlowp.dir/__/__/gemmlowp/test/test.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.h:30, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘void gemmlowp::test_gemm_impl(typename GemmWrapper::Context*, const LhsType&, const RhsType&, ResultType*, int, int, int, int, int, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:434:48: warning: typedef ‘BitDepthParams’ locally defined but not used [-Wunused-local-typedefs] 434 | typedef typename GemmWrapper::BitDepthParams BitDepthParams; | ^~~~~~~~~~~~~~ [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_dart.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_dart.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_dart.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_dart.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_dart.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_kotlin.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_kotlin.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_kotlin.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_kotlin.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_kotlin.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_kotlin_kmp.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_kotlin_kmp.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_kotlin_kmp.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_kotlin_kmp.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_kotlin_kmp.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_go.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_go.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_go.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_go.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_go.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_java.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_java.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_java.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_java.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_java.cpp /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In file included from /usr/include/stdio.h:970, from /usr/include/c++/14/cstdio:42, from /usr/include/c++/14/ext/string_conversions.h:45, from /usr/include/c++/14/bits/basic_string.h:4154, from /usr/include/c++/14/string:54, from /usr/include/c++/14/bits/locale_classes.h:40, from /usr/include/c++/14/bits/ios_base.h:41, from /usr/include/c++/14/ios:44, from /usr/include/c++/14/ostream:40, from /usr/include/c++/14/iostream:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.h:26: In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_ts.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_ts.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_ts.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_ts.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_ts.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_php.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_php.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_php.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_php.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_php.cpp /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_python.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_python.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_python.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_python.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_python.cpp /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:59: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 230 [-Wformat-truncation=] 123 | snprintf(buf, sizeof(buf), "SingleThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:123:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::SingleThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 27 and 282 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, gemmlowp::OperandRange<0, 255> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_lobster.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_lobster.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_lobster.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_lobster.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_lobster.cpp /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 4>, gemmlowp::KernelSideFormat, 5> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_rust.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_rust.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_rust.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_rust.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_rust.cpp /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 3> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 3>, gemmlowp::KernelSideFormat, 2> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 2>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc: In function ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:58: warning: ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 231 [-Wformat-truncation=] 163 | snprintf(buf, sizeof(buf), "MultiThreadGemm, Kernel: %s", Kernel().Name()); | ^~ In function ‘snprintf’, inlined from ‘gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Name()’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:163:13, inlined from ‘gemmlowp::test_gemm_impl, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >, gemmlowp::Matrix, gemmlowp::Matrix, gemmlowp::Matrix >(gemmlowp::MultiThreadGemmWrapper, 1>, gemmlowp::KernelSideFormat, 1> > >, unsigned char, gemmlowp::BitDepthParams, gemmlowp::OperandRange<0, 255> > >::Context*, gemmlowp::Matrix const&, gemmlowp::Matrix const&, gemmlowp::Matrix*, int, int, int, int, int, int)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.cc:468:9: /usr/include/bits/stdio2.h:68:35: note: ‘__snprintf_chk’ output between 26 and 281 bytes into a destination of size 256 68 | return __builtin___snprintf_chk (__s, __n, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_fbs.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_fbs.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_fbs.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_fbs.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_fbs.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_grpc.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_grpc.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_grpc.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_grpc.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_grpc.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_json_schema.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_json_schema.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_json_schema.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_json_schema.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_json_schema.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_swift.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/idl_gen_swift.cpp.o -MF CMakeFiles/flatc.dir/src/idl_gen_swift.cpp.o.d -o CMakeFiles/flatc.dir/src/idl_gen_swift.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/idl_gen_swift.cpp [ 3%] Building CXX object _deps/gemmlowp-build/CMakeFiles/test_gemmlowp.dir/__/__/gemmlowp/test/test_data.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/g++ -DNOMINMAX=1 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++11 -fPIE -MD -MT _deps/gemmlowp-build/CMakeFiles/test_gemmlowp.dir/__/__/gemmlowp/test/test_data.cc.o -MF CMakeFiles/test_gemmlowp.dir/__/__/gemmlowp/test/test_data.cc.o.d -o CMakeFiles/test_gemmlowp.dir/__/__/gemmlowp/test/test_data.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test_data.cc [ 3%] Linking CXX executable test_gemmlowp cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/test_gemmlowp.dir/link.txt --verbose=1 /usr/bin/g++ -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes CMakeFiles/test_gemmlowp.dir/__/__/gemmlowp/test/test.cc.o CMakeFiles/test_gemmlowp.dir/__/__/gemmlowp/test/test_data.cc.o -o test_gemmlowp -Wl,-rpath,/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build libeight_bit_int_gemm.so [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/file_name_saving_file_manager.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/file_name_saving_file_manager.cpp.o -MF CMakeFiles/flatc.dir/src/file_name_saving_file_manager.cpp.o.d -o CMakeFiles/flatc.dir/src/file_name_saving_file_manager.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/file_name_saving_file_manager.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/file_binary_writer.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && 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-fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/file_writer.cpp.o -MF CMakeFiles/flatc.dir/src/file_writer.cpp.o.d -o CMakeFiles/flatc.dir/src/file_writer.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/file_writer.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/flatc.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && 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-specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/flatc_main.cpp.o -MF CMakeFiles/flatc.dir/src/flatc_main.cpp.o.d -o CMakeFiles/flatc.dir/src/flatc_main.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/flatc_main.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/binary_annotator.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ 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-fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/annotated_binary_text_gen.cpp.o -MF CMakeFiles/flatc.dir/src/annotated_binary_text_gen.cpp.o.d -o CMakeFiles/flatc.dir/src/annotated_binary_text_gen.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/annotated_binary_text_gen.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/bfbs_gen_lua.cpp.o cd 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-Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/bfbs_gen_lua.cpp.o -MF CMakeFiles/flatc.dir/src/bfbs_gen_lua.cpp.o.d -o CMakeFiles/flatc.dir/src/bfbs_gen_lua.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/bfbs_gen_lua.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/bfbs_gen_nim.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/bfbs_gen_nim.cpp.o -MF CMakeFiles/flatc.dir/src/bfbs_gen_nim.cpp.o.d -o CMakeFiles/flatc.dir/src/bfbs_gen_nim.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/bfbs_gen_nim.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/code_generators.cpp.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/src/code_generators.cpp.o -MF CMakeFiles/flatc.dir/src/code_generators.cpp.o.d -o CMakeFiles/flatc.dir/src/code_generators.cpp.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/src/code_generators.cpp [ 3%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/grpc/src/compiler/cpp_generator.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/grpc/src/compiler/python_generator.cc.o -MF CMakeFiles/flatc.dir/grpc/src/compiler/python_generator.cc.o.d -o CMakeFiles/flatc.dir/grpc/src/compiler/python_generator.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc/src/compiler/python_generator.cc [ 4%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/grpc/src/compiler/swift_generator.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/grpc/src/compiler/swift_generator.cc.o -MF CMakeFiles/flatc.dir/grpc/src/compiler/swift_generator.cc.o.d -o CMakeFiles/flatc.dir/grpc/src/compiler/swift_generator.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc/src/compiler/swift_generator.cc [ 4%] Building CXX object _deps/flatbuffers-build/CMakeFiles/flatc.dir/grpc/src/compiler/ts_generator.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/g++ -DFLATBUFFERS_LOCALE_INDEPENDENT=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++17 -fPIE -Wall -pedantic -Wextra -Wno-unused-parameter -Wold-style-cast -fsigned-char -Wnon-virtual-dtor -Wunused-result -Wunused-parameter -Werror=unused-parameter -Wmissing-declarations -Wzero-as-null-pointer-constant -faligned-new -Wextra-semi -MD -MT _deps/flatbuffers-build/CMakeFiles/flatc.dir/grpc/src/compiler/ts_generator.cc.o -MF CMakeFiles/flatc.dir/grpc/src/compiler/ts_generator.cc.o.d -o CMakeFiles/flatc.dir/grpc/src/compiler/ts_generator.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/grpc/src/compiler/ts_generator.cc gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 4%] Built target test_gemmlowp /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/test_math_helpers.dir/build.make _deps/gemmlowp-build/CMakeFiles/test_math_helpers.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/contrib /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build/CMakeFiles/test_math_helpers.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/test_math_helpers.dir/build.make _deps/gemmlowp-build/CMakeFiles/test_math_helpers.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 4%] Building CXX object _deps/gemmlowp-build/CMakeFiles/test_math_helpers.dir/__/__/gemmlowp/test/test_math_helpers.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/g++ -DNOMINMAX=1 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++11 -fPIE -MD -MT _deps/gemmlowp-build/CMakeFiles/test_math_helpers.dir/__/__/gemmlowp/test/test_math_helpers.cc.o -MF CMakeFiles/test_math_helpers.dir/__/__/gemmlowp/test/test_math_helpers.cc.o.d -o CMakeFiles/test_math_helpers.dir/__/__/gemmlowp/test/test_math_helpers.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test_math_helpers.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.h:30, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test_math_helpers.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 5%] Linking CXX executable test_math_helpers cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/test_math_helpers.dir/link.txt --verbose=1 /usr/bin/g++ -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes CMakeFiles/test_math_helpers.dir/__/__/gemmlowp/test/test_math_helpers.cc.o -o test_math_helpers gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 5%] Built target test_math_helpers /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/test_blocking_counter.dir/build.make _deps/gemmlowp-build/CMakeFiles/test_blocking_counter.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/contrib /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build/CMakeFiles/test_blocking_counter.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/test_blocking_counter.dir/build.make _deps/gemmlowp-build/CMakeFiles/test_blocking_counter.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 5%] Building CXX object _deps/gemmlowp-build/CMakeFiles/test_blocking_counter.dir/__/__/gemmlowp/test/test_blocking_counter.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/g++ -DNOMINMAX=1 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++11 -fPIE -MD -MT _deps/gemmlowp-build/CMakeFiles/test_blocking_counter.dir/__/__/gemmlowp/test/test_blocking_counter.cc.o -MF CMakeFiles/test_blocking_counter.dir/__/__/gemmlowp/test/test_blocking_counter.cc.o.d -o CMakeFiles/test_blocking_counter.dir/__/__/gemmlowp/test/test_blocking_counter.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test_blocking_counter.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test_blocking_counter.cc:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 5%] Linking CXX executable test_blocking_counter cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/test_blocking_counter.dir/link.txt --verbose=1 /usr/bin/g++ -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes CMakeFiles/test_blocking_counter.dir/__/__/gemmlowp/test/test_blocking_counter.cc.o -o test_blocking_counter gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 5%] Built target test_blocking_counter /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/test_allocator.dir/build.make _deps/gemmlowp-build/CMakeFiles/test_allocator.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/contrib /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build/CMakeFiles/test_allocator.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/test_allocator.dir/build.make _deps/gemmlowp-build/CMakeFiles/test_allocator.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 5%] Building CXX object _deps/gemmlowp-build/CMakeFiles/test_allocator.dir/__/__/gemmlowp/test/test_allocator.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/g++ -DNOMINMAX=1 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++11 -fPIE -MD -MT _deps/gemmlowp-build/CMakeFiles/test_allocator.dir/__/__/gemmlowp/test/test_allocator.cc.o -MF CMakeFiles/test_allocator.dir/__/__/gemmlowp/test/test_allocator.cc.o.d -o CMakeFiles/test_allocator.dir/__/__/gemmlowp/test/test_allocator.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test_allocator.cc [ 5%] Linking CXX executable flatc cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/flatbuffers-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/flatc.dir/link.txt --verbose=1 /usr/bin/g++ -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes CMakeFiles/flatc.dir/src/idl_parser.cpp.o CMakeFiles/flatc.dir/src/idl_gen_text.cpp.o CMakeFiles/flatc.dir/src/reflection.cpp.o CMakeFiles/flatc.dir/src/util.cpp.o CMakeFiles/flatc.dir/src/idl_gen_binary.cpp.o CMakeFiles/flatc.dir/src/idl_gen_cpp.cpp.o CMakeFiles/flatc.dir/src/idl_gen_csharp.cpp.o CMakeFiles/flatc.dir/src/idl_gen_dart.cpp.o CMakeFiles/flatc.dir/src/idl_gen_kotlin.cpp.o CMakeFiles/flatc.dir/src/idl_gen_kotlin_kmp.cpp.o CMakeFiles/flatc.dir/src/idl_gen_go.cpp.o CMakeFiles/flatc.dir/src/idl_gen_java.cpp.o CMakeFiles/flatc.dir/src/idl_gen_ts.cpp.o CMakeFiles/flatc.dir/src/idl_gen_php.cpp.o CMakeFiles/flatc.dir/src/idl_gen_python.cpp.o CMakeFiles/flatc.dir/src/idl_gen_lobster.cpp.o CMakeFiles/flatc.dir/src/idl_gen_rust.cpp.o CMakeFiles/flatc.dir/src/idl_gen_fbs.cpp.o CMakeFiles/flatc.dir/src/idl_gen_grpc.cpp.o CMakeFiles/flatc.dir/src/idl_gen_json_schema.cpp.o CMakeFiles/flatc.dir/src/idl_gen_swift.cpp.o CMakeFiles/flatc.dir/src/file_name_saving_file_manager.cpp.o CMakeFiles/flatc.dir/src/file_binary_writer.cpp.o CMakeFiles/flatc.dir/src/file_writer.cpp.o CMakeFiles/flatc.dir/src/flatc.cpp.o CMakeFiles/flatc.dir/src/flatc_main.cpp.o CMakeFiles/flatc.dir/src/binary_annotator.cpp.o CMakeFiles/flatc.dir/src/annotated_binary_text_gen.cpp.o CMakeFiles/flatc.dir/src/bfbs_gen_lua.cpp.o CMakeFiles/flatc.dir/src/bfbs_gen_nim.cpp.o CMakeFiles/flatc.dir/src/code_generators.cpp.o CMakeFiles/flatc.dir/grpc/src/compiler/cpp_generator.cc.o CMakeFiles/flatc.dir/grpc/src/compiler/go_generator.cc.o CMakeFiles/flatc.dir/grpc/src/compiler/java_generator.cc.o CMakeFiles/flatc.dir/grpc/src/compiler/python_generator.cc.o CMakeFiles/flatc.dir/grpc/src/compiler/swift_generator.cc.o CMakeFiles/flatc.dir/grpc/src/compiler/ts_generator.cc.o -o flatc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.h:30, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test_allocator.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 5%] Linking CXX executable test_allocator cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/test_allocator.dir/link.txt --verbose=1 /usr/bin/g++ -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes CMakeFiles/test_allocator.dir/__/__/gemmlowp/test/test_allocator.cc.o -o test_allocator gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 5%] Built target test_allocator /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/test_fixedpoint.dir/build.make _deps/gemmlowp-build/CMakeFiles/test_fixedpoint.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/contrib /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build/CMakeFiles/test_fixedpoint.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/gemmlowp-build/CMakeFiles/test_fixedpoint.dir/build.make _deps/gemmlowp-build/CMakeFiles/test_fixedpoint.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 5%] Building CXX object _deps/gemmlowp-build/CMakeFiles/test_fixedpoint.dir/__/__/gemmlowp/test/test_fixedpoint.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/g++ -DNOMINMAX=1 -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++11 -fPIE -MD -MT _deps/gemmlowp-build/CMakeFiles/test_fixedpoint.dir/__/__/gemmlowp/test/test_fixedpoint.cc.o -MF CMakeFiles/test_fixedpoint.dir/__/__/gemmlowp/test/test_fixedpoint.cc.o.d -o CMakeFiles/test_fixedpoint.dir/__/__/gemmlowp/test/test_fixedpoint.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test_fixedpoint.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test.h:30, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/test_fixedpoint.cc:27: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/test/../public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 5%] Linking CXX executable test_fixedpoint cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/gemmlowp-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/test_fixedpoint.dir/link.txt --verbose=1 /usr/bin/g++ -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes CMakeFiles/test_fixedpoint.dir/__/__/gemmlowp/test/test_fixedpoint.cc.o -o test_fixedpoint gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 5%] Built target test_fixedpoint /usr/bin/gmake -f _deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_profiler.dir/build.make _deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_profiler.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/profiler /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/profiler /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_profiler.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_profiler.dir/build.make _deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_profiler.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 5%] Building CXX object _deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_profiler.dir/profiler.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/profiler && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -MD -MT _deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_profiler.dir/profiler.cc.o -MF CMakeFiles/ruy_profiler_profiler.dir/profiler.cc.o.d -o CMakeFiles/ruy_profiler_profiler.dir/profiler.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/profiler/profiler.cc [ 5%] Building CXX object _deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_profiler.dir/treeview.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/profiler && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -MD -MT _deps/ruy-build/ruy/profiler/CMakeFiles/ruy_profiler_profiler.dir/treeview.cc.o -MF CMakeFiles/ruy_profiler_profiler.dir/treeview.cc.o.d -o CMakeFiles/ruy_profiler_profiler.dir/treeview.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/profiler/treeview.cc [ 5%] Linking CXX static library libruy_profiler_profiler.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/profiler && /usr/bin/cmake -P CMakeFiles/ruy_profiler_profiler.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/profiler && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_profiler_profiler.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_profiler_profiler.a CMakeFiles/ruy_profiler_profiler.dir/profiler.cc.o CMakeFiles/ruy_profiler_profiler.dir/treeview.cc.o /usr/bin/ranlib libruy_profiler_profiler.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 5%] Built target ruy_profiler_profiler /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/build.make _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/build.make _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 5%] 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/cs16-bfly4/cs16-bfly4-samples1-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/cs16-bfly4/cs16-bfly4-samples1-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/cs16-bfly4/cs16-bfly4-samples1-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/cs16-bfly4/cs16-bfly4-samples1-scalar.c [ 5%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/cs16-bfly4/cs16-bfly4-samples4-scalar.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/cs16-bfly4/cs16-bfly4-samples4-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/cs16-bfly4/cs16-bfly4-samples4-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/cs16-bfly4/cs16-bfly4-samples4-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/cs16-bfly4/cs16-bfly4-samples4-scalar.c [ 5%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/cs16-bfly4/gen/cs16-bfly4-scalar-x1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x1.c.o -MF CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x1.c.o.d -o CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x1.c [ 6%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x2.c.o -MF CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x2.c.o.d -o CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x2.c [ 6%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x3.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x3.c.o -MF CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x3.c.o.d -o CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x3.c [ 6%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x4.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x4.c.o -MF CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x4.c [ 6%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-u1.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-u1.c [ 6%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-u2.c [ 6%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-u3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc2.c [ 6%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc3.c [ 6%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc4.c [ 6%] Building C 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1.c [ 6%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1-acc2.c [ 6%] Building C 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1.c [ 6%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1-acc2.c [ 7%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1.c [ 7%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc2.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc3.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc4.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c [ 7%] Building C 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1.c [ 7%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc2.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc3.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1.c [ 7%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1-acc2.c [ 7%] Building C 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l1c1s1r-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l1c1s1r-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l1c1s1r-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-2f2m2l1c1s1r-minmax-scalar.c [ 7%] Building C object 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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-m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar-acc2.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 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-DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar-acc2.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-minmax-scalar-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-minmax-scalar-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-minmax-scalar-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-minmax-scalar-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-minmax-scalar-acc2.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-minmax-scalar.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-scalar-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-scalar-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-scalar-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-scalar-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-scalar-acc2.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-scalar.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-5f5m5l1c1s1r-scalar.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-minmax-scalar-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-minmax-scalar-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-minmax-scalar-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-minmax-scalar-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-minmax-scalar-acc2.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-minmax-scalar.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-scalar-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-scalar-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-scalar-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-scalar-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-scalar-acc2.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-6f6m7l1c1s1r-scalar.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-minmax-scalar-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-minmax-scalar-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-minmax-scalar-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-minmax-scalar-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-minmax-scalar-acc2.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-minmax-scalar.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-scalar-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-scalar-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-scalar-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-scalar-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-scalar-acc2.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-scalar.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-8f8m9l1c1s1r-scalar.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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-m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar-acc2.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar.c [ 7%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar.c.o -MF 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar-acc2.c [ 8%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar.c [ 8%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-u1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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-m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-u1.c [ 8%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-u2.c [ 8%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-u3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-scalar-c1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-scalar-c1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-scalar-c1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-scalar-c1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-scalar-c1.c [ 8%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-1x4-minmax-scalar.c [ 8%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c [ 8%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p1.c [ 8%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p2.c [ 8%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p4.c [ 8%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-ibilinear/gen/f32-ibilinear-scalar-c1.c [ 8%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c2.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-ibilinear/gen/f32-ibilinear-scalar-c2.c [ 8%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-ibilinear/gen/f32-ibilinear-scalar-c4.c [ 8%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-minmax-scalar.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-1x4-minmax-scalar.c [ 8%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-relu-scalar.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-relu-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-relu-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-relu-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-1x4-relu-scalar.c [ 8%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-1x4-scalar.c [ 8%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-2x4-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x4-relu-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x4-relu-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x4-relu-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x4-relu-scalar.c [ 9%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x4-relu-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x4-relu-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x4-relu-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x4-relu-scalar.c [ 9%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x4-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x4-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x4-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x4-scalar.c [ 9%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x2-relu-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x2-relu-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x2-relu-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x2-relu-scalar.c [ 9%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x4-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x4-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x4-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x4-minmax-scalar.c [ 9%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x4-relu-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x4-relu-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x4-relu-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x4-relu-scalar.c [ 9%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x4-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x4-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x4-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x4-scalar.c [ 9%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-1x1-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-1x1-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-1x1-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-1x1-minmax-scalar.c [ 9%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-2x1-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-2x1-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-2x1-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-2x1-minmax-scalar.c [ 9%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-4x1-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-4x1-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-4x1-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-4x1-minmax-scalar.c [ 9%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-8x1-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-8x1-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-8x1-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-8x1-minmax-scalar.c [ 9%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-8x2-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-8x2-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-8x2-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-8x2-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-8x2-minmax-scalar.c [ 9%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-spmm/gen/f32-qc8w-spmm-8x4-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-u4.c [ 9%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-u4.c [ 9%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-u1.c [ 9%] Building C object 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u2-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u2-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u2-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rminmax-scalar-u2-acc2.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u3-acc3.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u3-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u3-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u3-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rminmax-scalar-u3-acc3.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u4-acc2.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u4-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u4-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u4-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rminmax-scalar-u4-acc2.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u4-acc4.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u4-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u4-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-scalar-u4-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rminmax-scalar-u4-acc4.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rsum/gen/f32-rsum-scalar-u1.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rsum/gen/f32-rsum-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rsum/gen/f32-rsum-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rsum/gen/f32-rsum-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rsum/gen/f32-rsum-scalar-u1.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rsum/gen/f32-rsum-scalar-u2-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar-pipelined.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar-pipelined.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar-pipelined.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar-pipelined.c [ 10%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar-pipelined.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar-pipelined.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar-pipelined.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar-pipelined.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar-pipelined.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar-pipelined.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar-pipelined.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar-pipelined.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar-pipelined.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar-pipelined.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar.c.o cd 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vadd-relu-scalar-u1.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-u2.c.o cd 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vadd-relu-scalar-u8.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-u1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vadd-scalar-u1.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-u2.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vadd-scalar-u4.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vadd-scalar-u8.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u1.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u1.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u2.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u2.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u4.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-u8.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u1.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u2.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u4.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vaddc-relu-scalar-u8.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-scalar-u1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u2.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u4.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u4.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u8.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-u8.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-u1.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdiv-relu-scalar-u1.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdiv-relu-scalar-u2.c [ 10%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdivc-relu-scalar-u4.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-u8.c.o cd 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdivc-scalar-u2.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdivc-scalar-u8.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-u1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmax-scalar-u2.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-u4.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmax-scalar-u4.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vminc-scalar-u8.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u1.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u2.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u4.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmul-minmax-scalar-u8.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-u1.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmul-relu-scalar-u1.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmul-relu-scalar-u2.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 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-DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmulc-relu-scalar-u4.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-u8.c.o cd 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/usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmulc-scalar-u2.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-u4.c [ 11%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-u8.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u1.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u2.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u4.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u4.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u8.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-u8.c [ 11%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-u1.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrdivc-scalar-u1.c [ 12%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-u8.c [ 12%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u1.c [ 12%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u2.c [ 12%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u4.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u4.c [ 12%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-u8.c [ 12%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-u1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrsubc-scalar-u1.c [ 12%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsqrdiff-scalar-u8.c [ 12%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-u1.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-u1.c [ 12%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsub-scalar-u4.c [ 12%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-u8.c.o cd 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-DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-u4.c [ 12%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsubc-relu-scalar-u4.c [ 12%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-u8.c.o cd 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-DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-u4.c [ 12%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-u5.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-u5.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-u5.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-u5.c [ 12%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-scalar-rr2-p6-u1.c [ 13%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-u2.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-u1.c [ 13%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-u2.c [ 13%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-u4.c [ 13%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u1.c [ 13%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u2.c [ 13%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-u4.c [ 13%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u1.c [ 13%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u2.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u2.c [ 13%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u4.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-u4.c [ 13%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u1.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u1.c [ 13%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u2.c [ 13%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-u4.c [ 13%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-scalar-expm1minus-rr1-lut8-p4h3ts-div-u1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vunary/gen/f32-vabs-scalar-u2.c [ 13%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-scalar-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc 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-DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x2-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x2-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x2-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x2-minmax-scalar.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x2-minmax-scalar.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x2__scalar’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x2-minmax-scalar.c:51:59: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 51 | const int32_t vinput_zero_point1 = quantization_params[1].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x2-minmax-scalar.c:28:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 28 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x2-minmax-scalar.c:91:52: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const float vinput_scale1 = quantization_params[1].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x2-minmax-scalar.c:28:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 28 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4-minmax-scalar.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4-minmax-scalar.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x4__scalar’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4-minmax-scalar.c:54:59: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const int32_t vinput_zero_point1 = quantization_params[1].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4-minmax-scalar.c:27:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4-minmax-scalar.c:116:52: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 116 | const float vinput_scale1 = quantization_params[1].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4-minmax-scalar.c:27:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8-minmax-scalar.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8-minmax-scalar.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x8__scalar’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8-minmax-scalar.c:62:59: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 62 | const int32_t vinput_zero_point1 = quantization_params[1].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8-minmax-scalar.c:27:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8-minmax-scalar.c:168:52: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 168 | const float vinput_scale1 = quantization_params[1].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8-minmax-scalar.c:27:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4__scalar’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c:66:59: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const int32_t vinput_zero_point1 = quantization_params[1].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c:27:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c:71:59: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const int32_t vinput_zero_point2 = quantization_params[2].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c:27:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c:76:59: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 76 | const int32_t vinput_zero_point3 = quantization_params[3].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c:27:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c:168:52: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 168 | const float vinput_scale1 = quantization_params[1].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c:27:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c:173:52: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 173 | const float vinput_scale2 = quantization_params[2].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c:27:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c:178:52: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 178 | const float vinput_scale3 = quantization_params[3].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4-minmax-scalar.c:27:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x2-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x2-minmax-scalar.c [ 16%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4-minmax-scalar.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8-minmax-scalar.c [ 16%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x2-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x2-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x2-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x2-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x2-minmax-scalar.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x2-minmax-scalar.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x2__scalar’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x2-minmax-scalar.c:50:59: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 50 | const int32_t vinput_zero_point1 = quantization_params[1].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x2-minmax-scalar.c:28:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 28 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x2-minmax-scalar.c:80:52: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const float vinput_scale1 = quantization_params[1].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x2-minmax-scalar.c:28:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 28 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4-minmax-scalar.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4-minmax-scalar.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x4__scalar’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4-minmax-scalar.c:53:59: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const int32_t vinput_zero_point1 = quantization_params[1].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4-minmax-scalar.c:27:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4-minmax-scalar.c:97:52: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 97 | const float vinput_scale1 = quantization_params[1].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4-minmax-scalar.c:27:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8-minmax-scalar.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8-minmax-scalar.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x8__scalar’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8-minmax-scalar.c:61:59: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const int32_t vinput_zero_point1 = quantization_params[1].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8-minmax-scalar.c:27:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8-minmax-scalar.c:133:52: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 133 | const float vinput_scale1 = quantization_params[1].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8-minmax-scalar.c:27:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4__scalar’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c:65:59: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const int32_t vinput_zero_point1 = quantization_params[1].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c:27:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c:70:59: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 70 | const int32_t vinput_zero_point2 = quantization_params[2].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c:27:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c:75:59: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const int32_t vinput_zero_point3 = quantization_params[3].zero_point; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c:27:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c:137:52: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 137 | const float vinput_scale1 = quantization_params[1].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c:27:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c:142:52: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 142 | const float vinput_scale2 = quantization_params[2].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c:27:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c:147:52: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 147 | const float vinput_scale3 = quantization_params[3].inv_scale; | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4-minmax-scalar.c:27:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 27 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x2-minmax-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c [ 17%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c [ 17%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c [ 17%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c [ 17%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c [ 17%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-u2.c [ 19%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-u4.c [ 19%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-u1.c [ 19%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-u2.c [ 19%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-u4.c [ 19%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-scalar-u1.c [ 19%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-scalar-u2.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-scalar-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-scalar-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-scalar-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-scalar-u2.c [ 19%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-scalar-u4.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-scalar-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-scalar-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-scalar-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-scalar-u4.c [ 19%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-scalar-imagic-c1.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c [ 20%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-rndnu-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-rndnu-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-rndnu-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-rndnu-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-rndnu-scalar.c [ 20%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c [ 20%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-imagic.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-imagic.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-imagic.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-imagic.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-imagic.c [ 20%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c [ 20%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c [ 20%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-imagic.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-imagic.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-imagic.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-imagic.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-imagic.c In file included from /usr/include/string.h:548, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/port.h:39, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/common.h:48, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/message_lite.h:46, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/message_lite.cc:36: In function ‘memcpy’, inlined from ‘google::protobuf::io::EpsCopyOutputStream::WriteRaw(void const*, int, unsigned char*)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/coded_stream.h:684:16, inlined from ‘google::protobuf::internal::ImplicitWeakMessage::_InternalSerialize(unsigned char*, google::protobuf::io::EpsCopyOutputStream*) const’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/implicit_weak_message.h:103:28, inlined from ‘google::protobuf::MessageLite::SerializePartialToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/message_lite.cc:411:30: /usr/include/bits/string_fortified.h:29:33: warning: ‘__memcpy_chk’ specified size between 18446744071562067968 and 18446744073709551615 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c [ 20%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/parse_context.cc.o cd 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-fmagic.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-fmagic.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-fmagic.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-fmagic.c [ 21%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-imagic.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-imagic.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-imagic.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-imagic.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-imagic.c [ 21%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-lrintf.c.o cd 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CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-fp32-scalar-imagic.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-fp32-scalar-imagic.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-fp32-scalar-imagic.c [ 21%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/stubs/stringpiece.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-fmagic.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-fmagic.c [ 21%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-imagic.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-imagic.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-imagic.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-imagic.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-imagic.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/stringprintf.cc: In function ‘std::string google::protobuf::StringPrintfVector(const char*, const std::vector >&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/stringprintf.cc:152:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 152 | for (int i = 0; i < v.size(); ++i) { | ~~^~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/stringprintf.cc:155:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 155 | for (int i = v.size(); i < GOOGLE_ARRAYSIZE(cstr); ++i) { [ 21%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-lrintf.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-rndnu-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-rndnu-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-rndnu-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-rndnu-scalar.c [ 21%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-fmagic.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-fmagic.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-fmagic.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-fmagic.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-fmagic.c [ 21%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-imagic.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-imagic.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-imagic.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-imagic.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-imagic.c [ 21%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-lrintf.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-lrintf.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-lrintf.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-lrintf.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-lrintf.c [ 21%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-rndnu-scalar.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-rndnu-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-rndnu-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-rndnu-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-rndnu-scalar.c [ 21%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-fp32-scalar-fmagic.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-fp32-scalar-fmagic.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-fp32-scalar-fmagic.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-fp32-scalar-fmagic.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-requantization/qu8-requantization-fp32-scalar-fmagic.c [ 21%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-fp32-scalar-lrintf.c.o cd 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-u1.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-u1.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-u1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-u1.c [ 22%] Building C object 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/importer.cc: In member function ‘google::protobuf::compiler::DiskSourceTree::DiskFileToVirtualFileResult google::protobuf::compiler::DiskSourceTree::DiskFileToVirtualFile(const std::string&, std::string*, std::string*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/importer.cc:401:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 401 | for (int i = 0; i < mappings_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ [ 24%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-2x2-scalar-int.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-2x1-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-2x1-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-2x1-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x24-transposec/gen/x24-transposec-2x1-scalar.c [ 24%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-4x2-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-4x2-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-4x2-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x24-transposec/gen/x24-transposec-4x2-scalar.c [ 24%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x2-gemm-goi-scalar-int-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x2-gemm-goi-scalar-int-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x2-gemm-goi-scalar-int-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x2-gemm-goi-scalar-int-u4.c [ 24%] Building C object 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x3-gemm-goi-scalar-float-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x3-gemm-goi-scalar-float-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x3-gemm-goi-scalar-float-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x3-gemm-goi-scalar-float-u4.c [ 24%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x3-gemm-goi-scalar-int-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x3-gemm-goi-scalar-int-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x3-gemm-goi-scalar-int-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x3-gemm-goi-scalar-int-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x3-gemm-goi-scalar-int-u4.c [ 24%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x4-gemm-goi-scalar-float-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x4-gemm-goi-scalar-float-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x4-gemm-goi-scalar-float-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x4-gemm-goi-scalar-float-u4.c [ 24%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x4-gemm-goi-scalar-int-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x4-gemm-goi-scalar-int-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x4-gemm-goi-scalar-int-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x4-gemm-goi-scalar-int-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x4-gemm-goi-scalar-int-u4.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘bool google::protobuf::compiler::{anonymous}::IsNumberFollowUnderscore(const std::string&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/parser.cc:162:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 162 | for (int i = 1; i < name.length(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/parser.cc: In member function ‘void google::protobuf::compiler::Parser::LocationRecorder::AttachComments(std::string*, std::string*, std::vector >*) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/parser.cc:503:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 503 | for (int i = 0; i < detached_comments->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-scalar-float-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-scalar-float-u4.c.o -MF 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-zerob/gen/x32-zerob-2c2s1r-gemm-scalar-int.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-zerob/gen/x32-zerob-2c2s1r-gemm-scalar-int.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-zerob/gen/x32-zerob-2c2s1r-gemm-scalar-int.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-zerob/gen/x32-zerob-2c2s1r-gemm-scalar-int.c [ 25%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-zerob/gen/x32-zerob-4c1s1r-gemm-scalar-float.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-zerob/gen/x32-zerob-4c1s1r-gemm-scalar-float.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-zerob/gen/x32-zerob-4c1s1r-gemm-scalar-float.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-zerob/gen/x32-zerob-4c1s1r-gemm-scalar-float.c [ 25%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-zerob/gen/x32-zerob-4c1s1r-gemm-scalar-int.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-zerob/gen/x32-zerob-4c1s1r-gemm-scalar-int.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-zerob/gen/x32-zerob-4c1s1r-gemm-scalar-int.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-zerob/gen/x32-zerob-4c1s1r-gemm-scalar-int.c [ 25%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-zerob/gen/x32-zerob-4c4s1r-gemm-scalar-int.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-zerob/gen/x32-zerob-4c4s1r-gemm-scalar-int.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-zerob/gen/x32-zerob-4c4s1r-gemm-scalar-int.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-zerob/gen/x32-zerob-4c4s1r-gemm-scalar-int.c [ 25%] Building C object 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x2-scalar.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x2-scalar.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x2-scalar.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-zip/x32-zip-x2-scalar.c [ 25%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x3-scalar.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-scalar-float.c.o -MF CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-scalar-float.c.o.d -o CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-scalar-float.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x64-transposec/gen/x64-transposec-2x2-scalar-float.c [ 25%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x1-scalar-float.c.o -MF CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x1-scalar-float.c.o.d -o CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x1-scalar-float.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x64-transposec/gen/x64-transposec-4x1-scalar-float.c [ 25%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x1-scalar-int.c.o -MF CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x1-scalar-int.c.o.d -o CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x1-scalar-int.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x64-transposec/gen/x64-transposec-4x1-scalar-int.c [ 25%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x2-scalar-float.c.o -MF CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x2-scalar-float.c.o.d -o CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x2-scalar-float.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x64-transposec/gen/x64-transposec-4x2-scalar-float.c [ 25%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x2-scalar-int.c.o -MF CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x2-scalar-int.c.o.d -o CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x2-scalar-int.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x64-transposec/gen/x64-transposec-4x2-scalar-int.c [ 25%] Building C object 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/xx-pad/xx-pad-p4-scalar-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/xx-pad/xx-pad-p4-scalar-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/xx-pad/xx-pad-p4-scalar-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/xx-pad/xx-pad-p4-scalar-u16.c [ 25%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/descriptor.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/descriptor.cc.o -MF CMakeFiles/libprotobuf.dir/src/google/protobuf/descriptor.cc.o.d -o CMakeFiles/libprotobuf.dir/src/google/protobuf/descriptor.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/descriptor.cc [ 25%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/xx-transposev/xx-transposev-1x1-scalar-memcpy.c.o cd 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma-expm1minus-rr1-p6h5ts-div-u2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma-expm1minus-rr1-p6h5ts-div-u2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma-expm1minus-rr1-p6h5ts-div-u2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma-expm1minus-rr1-p6h5ts-div-u2.c [ 25%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma-expm1minus-rr1-p6h5ts-div-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma-expm1minus-rr1-p6h5ts-div-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma-expm1minus-rr1-p6h5ts-div-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma-expm1minus-rr1-p6h5ts-div-u4.c [ 25%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1minus-rr1-lut4-p4h3ts-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1minus-rr1-lut4-p4h3ts-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1minus-rr1-lut4-p4h3ts-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-fma-expm1minus-rr1-lut4-p4h3ts-div.c [ 25%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1minus-rr1-lut64-p3h1ts-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1minus-rr1-lut64-p3h1ts-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1minus-rr1-lut64-p3h1ts-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-fma-expm1minus-rr1-lut64-p3h1ts-div.c [ 25%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1minus-rr1-p6h4ts-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1minus-rr1-p6h4ts-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1minus-rr1-p6h4ts-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-fma-expm1minus-rr1-p6h4ts-div.c [ 25%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1minus-rr2-lut16-p4h3ps-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1minus-rr2-lut16-p4h3ps-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1minus-rr2-lut16-p4h3ps-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-fma-expm1minus-rr2-lut16-p4h3ps-div.c [ 26%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1plus-rr1-lut8-p4h2ts-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1plus-rr1-lut8-p4h2ts-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1plus-rr1-lut8-p4h2ts-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-fma-expm1plus-rr1-lut8-p4h2ts-div.c [ 26%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1plus-rr1-lut16-p4h3ps-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1plus-rr1-lut16-p4h3ps-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1plus-rr1-lut16-p4h3ps-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-fma-expm1plus-rr1-lut16-p4h3ps-div.c [ 26%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1plus-rr2-lut8-p4h2ts-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1plus-rr2-lut8-p4h2ts-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1plus-rr2-lut8-p4h2ts-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-fma-expm1plus-rr2-lut8-p4h2ts-div.c [ 26%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1plus-rr2-lut16-p4h3ps-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1plus-rr2-lut16-p4h3ps-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma-expm1plus-rr2-lut16-p4h3ps-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-fma-expm1plus-rr2-lut16-p4h3ps-div.c [ 26%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-3x4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-3x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-3x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-3x4.c [ 26%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-4x4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-4x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-4x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-4x4.c [ 27%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-5x4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-5x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-5x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-5x4.c [ 27%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-6x4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-6x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-6x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-6x4.c [ 27%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc2.c [ 27%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c [ 27%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc4.c [ 27%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4.c [ 27%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4-acc2.c [ 27%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4.c [ 27%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-3x4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-3x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-3x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-3x4.c [ 27%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4-acc2.c [ 27%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4.c [ 27%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-5x4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-5x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-5x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-5x4.c [ 27%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc2.c [ 27%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc3.c [ 27%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc4.c [ 27%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc5.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc5.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc5.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc5.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc5.c [ 27%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4.c [ 27%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc2.c [ 27%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc3.c [ 27%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c [ 27%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4-acc2.c [ 27%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4.c [ 27%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse-acc2.c [ 27%] Building C object 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-ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8s4-minmax-sse.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8s4-minmax-sse.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8s4-minmax-sse.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-3x8s4-minmax-sse.c [ 28%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c [ 28%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-dup.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-dup.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-dup.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-dup.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-dup.c [ 28%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c [ 28%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8s4-minmax-sse.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8s4-minmax-sse.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8s4-minmax-sse.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8s4-minmax-sse.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-4x8s4-minmax-sse.c [ 28%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-dup.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-dup.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-dup.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-dup.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-dup.c [ 28%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-load1.c.o cd 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-4x8s4-minmax-sse.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-4x8s4-minmax-sse.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-4x8s4-minmax-sse.c [ 28%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/field_mask.pb.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8s4-minmax-sse.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8s4-minmax-sse.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8s4-minmax-sse.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-3x8s4-minmax-sse.c [ 28%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2c4-minmax-sse.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2c4-minmax-sse.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2c4-minmax-sse.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-4x2c4-minmax-sse.c [ 28%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8s4-minmax-sse.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8s4-minmax-sse.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8s4-minmax-sse.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-4x8s4-minmax-sse.c [ 28%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-dup.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-dup.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-dup.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-dup.c [ 28%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-load1.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-load1.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-load1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-load1.c [ 28%] Building C object 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmin-sse-u4.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u8-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u8-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u8-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u8-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmin-sse-u8-acc2.c [ 29%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/io/tokenizer.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/io/tokenizer.cc.o -MF CMakeFiles/libprotobuf.dir/src/google/protobuf/io/tokenizer.cc.o.d -o CMakeFiles/libprotobuf.dir/src/google/protobuf/io/tokenizer.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/tokenizer.cc [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u12-acc3.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u12-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u12-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u12-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmin-sse-u12-acc3.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u16-acc2.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u16-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u16-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u16-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmin-sse-u16-acc2.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u16-acc4.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u16-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u16-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-sse-u16-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmin-sse-u16-acc4.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-sse-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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-m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-sse-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-sse-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-sse-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rminmax-sse-u4.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-sse-u8-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rsum/gen/f32-rsum-sse-u16-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rsum/gen/f32-rsum-sse-u16-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rsum/gen/f32-rsum-sse-u16-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rsum/gen/f32-rsum-sse-u16-acc2.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rsum/gen/f32-rsum-sse-u16-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && 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-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/map_field.cc.o -MF CMakeFiles/libprotobuf.dir/src/google/protobuf/map_field.cc.o.d -o CMakeFiles/libprotobuf.dir/src/google/protobuf/map_field.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/map_field.cc [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-sse.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-sse.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-sse.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-sse.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-spmm/gen/f32-spmm-8x1-minmax-sse.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-16x1-minmax-sse.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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-m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-16x1-minmax-sse.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-16x1-minmax-sse.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-16x1-minmax-sse.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-spmm/gen/f32-spmm-16x1-minmax-sse.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-32x1-minmax-sse.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-32x1-minmax-sse.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-32x1-minmax-sse.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-32x1-minmax-sse.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-spmm/gen/f32-spmm-32x1-minmax-sse.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-sse-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-sse-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-sse-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-sse-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vadd-minmax-sse-u4.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-sse-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-sse-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-sse-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-sse-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vadd-minmax-sse-u8.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-sse-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-sse-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vaddc-minmax-sse-u4.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-sse-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-sse-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-sse-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-sse-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-sse-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdiv-minmax-sse-u8.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-sse-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-sse-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-sse-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-sse-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdivc-minmax-sse-u4.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-sse-u8.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-sse-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-sse-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-sse-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdivc-minmax-sse-u8.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-sse-u4.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-sse-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-sse-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-sse-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmax-sse-u4.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-sse-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/message.cc.o -MF CMakeFiles/libprotobuf.dir/src/google/protobuf/message.cc.o.d -o CMakeFiles/libprotobuf.dir/src/google/protobuf/message.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/message.cc [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-sse-u8.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-sse-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-sse-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-sse-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmaxc-sse-u8.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-sse-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-sse-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-sse-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-sse-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmulc-minmax-sse-u4.c [ 29%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-sse-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-sse-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-sse-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmulc-minmax-sse-u8.c [ 29%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-u4.c [ 29%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-u8.c [ 29%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-u4.c [ 29%] Building C object 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-u8.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-sse-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-sse-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-sse-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-sse-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsqrdiff-sse-u4.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-sse-u8.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-sse-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-sse-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-sse-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsqrdiff-sse-u8.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-sse-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-sse-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-sse-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-sse-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsqrdiffc-sse-u4.c [ 29%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-sse-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-sse-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-sse-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-sse-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsqrdiffc-sse-u8.c [ 30%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-sse-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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&& /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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-DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c8-minmax-sse-2x.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-sse-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-sse-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-sse-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vrelu/gen/f32-vrelu-sse-u4.c [ 30%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-sse-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc 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-DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse -mno-sse2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-transposec/x32-transposec-4x4-sse.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-transposec/x32-transposec-4x4-sse.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-transposec/x32-transposec-4x4-sse.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-transposec/x32-transposec-4x4-sse.c [ 30%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-u16.c [ 30%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-u24.c [ 30%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-u32.c [ 30%] Building C object 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vabs-sse2-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vabs-sse2-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vabs-sse2-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vunary/gen/f16-vabs-sse2-u8.c [ 30%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vabs-sse2-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vabs-sse2-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vabs-sse2-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vabs-sse2-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vunary/gen/f16-vabs-sse2-u16.c [ 30%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vneg-sse2-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vneg-sse2-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vneg-sse2-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vneg-sse2-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vunary/gen/f16-vneg-sse2-u8.c [ 30%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vneg-sse2-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u16.c [ 30%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u24.c [ 30%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-u32.c [ 30%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-1x8-minmax-sse2-dup.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-1x8-minmax-sse2-dup.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-1x8-minmax-sse2-dup.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-1x8-minmax-sse2-dup.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-1x8-minmax-sse2-dup.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-3x8-minmax-sse2-dup.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-3x8-minmax-sse2-dup.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-3x8-minmax-sse2-dup.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-3x8-minmax-sse2-dup.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-3x8-minmax-sse2-dup.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-4x8-minmax-sse2-dup.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-4x8-minmax-sse2-dup.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-4x8-minmax-sse2-dup.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-4x8-minmax-sse2-dup.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-4x8-minmax-sse2-dup.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-5x8-minmax-sse2-dup.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-5x8-minmax-sse2-dup.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-5x8-minmax-sse2-dup.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-5x8-minmax-sse2-dup.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-5x8-minmax-sse2-dup.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x8-minmax-sse2-dup.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x8-minmax-sse2-dup.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x8-minmax-sse2-dup.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x8-minmax-sse2-dup.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-6x8-minmax-sse2-dup.c [ 31%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/stubs/substitute.cc.o cd 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse2-2x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse2-2x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-prelu/gen/f32-prelu-sse2-2x4.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse2-2x8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse2-2x8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-prelu/gen/f32-prelu-sse2-2x8.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u8.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/substitute.cc:35: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/substitute.cc: In function ‘void google::protobuf::strings::SubstituteAndAppend(std::string*, const char*, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/logging.h:181:50: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 181 | #define GOOGLE_DCHECK_EQ(A, B) GOOGLE_DCHECK((A) == (B)) | ~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/logging.h:149:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 149 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/logging.h:179:48: note: in expansion of macro ‘GOOGLE_CHECK’ 179 | #define GOOGLE_DCHECK(EXPRESSION) while(false) GOOGLE_CHECK(EXPRESSION) | ^~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/logging.h:181:32: note: in expansion of macro ‘GOOGLE_DCHECK’ 181 | #define GOOGLE_DCHECK_EQ(A, B) GOOGLE_DCHECK((A) == (B)) | ^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/substitute.cc:131:3: note: in expansion of macro ‘GOOGLE_DCHECK_EQ’ 131 | GOOGLE_DCHECK_EQ(target - output->data(), output->size()); | ^~~~~~~~~~~~~~~~ [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u16.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u24.c [ 31%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/text_format.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/text_format.cc.o -MF CMakeFiles/libprotobuf.dir/src/google/protobuf/text_format.cc.o.d -o CMakeFiles/libprotobuf.dir/src/google/protobuf/text_format.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/text_format.cc [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-u32.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u8.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u16.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u24.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u32.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-u32.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-u4.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-u4.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-u8-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-u8-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-u8-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-u8-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-u8-acc2.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u4.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u8.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u8.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u12.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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-m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u12.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u12.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u12.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u12.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u16.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u20.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u20.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u20.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u20.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u20.c [ 31%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-u24.c.o -MF 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-u8.c [ 31%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-u16.c [ 31%] Building C object 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-DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u4.c [ 32%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u8.c [ 32%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u12.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u12.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u12.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u12.c [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-sse2-rational-9-6-nr-u16.c [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-f32-cvt-sse2-int16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-f32-cvt-sse2-int16.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f16-f32-cvt-sse2-int16.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f16-f32-cvt-sse2-int16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f16-f32-cvt-sse2-int16.c [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-f32-cvt-sse2-int32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-f32-cvt-sse2-int32.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f16-f32-cvt-sse2-int32.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f16-f32-cvt-sse2-int32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f16-f32-cvt-sse2-int32.c [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-exp-sse2-rr2-lut64-p2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-exp-sse2-rr2-lut64-p2.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-exp-sse2-rr2-lut64-p2.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-exp-sse2-rr2-lut64-p2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-exp-sse2-rr2-lut64-p2.c [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-exp-sse2-rr2-p5.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-exp-sse2-rr2-p5.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-exp-sse2-rr2-p5.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-exp-sse2-rr2-p5.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-exp-sse2-rr2-p5.c In file included from /usr/include/c++/14/string:51, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/unknown_field_set.h:44, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/unknown_field_set.cc:35: In function ‘std::__copy_move::__copy_m(google::protobuf::UnknownField*, google::protobuf::UnknownField*, google::protobuf::UnknownField*)google::protobuf::UnknownField*’, inlined from ‘std::__copy_move_a2(google::protobuf::UnknownField*, google::protobuf::UnknownField*, google::protobuf::UnknownField*)google::protobuf::UnknownField*’ at /usr/include/c++/14/bits/stl_algobase.h:521:30, inlined from ‘std::__copy_move_a1(google::protobuf::UnknownField*, google::protobuf::UnknownField*, google::protobuf::UnknownField*)google::protobuf::UnknownField*’ at /usr/include/c++/14/bits/stl_algobase.h:548:42, inlined from ‘std::__copy_move_a > >, google::protobuf::UnknownField*>(__gnu_cxx::__normal_iterator > >, __gnu_cxx::__normal_iterator > >, google::protobuf::UnknownField*)google::protobuf::UnknownField*’ at /usr/include/c++/14/bits/stl_algobase.h:555:31, inlined from ‘std::copy > > >, google::protobuf::UnknownField*>(std::move_iterator<__gnu_cxx::__normal_iterator > > >, std::move_iterator<__gnu_cxx::__normal_iterator > > >, google::protobuf::UnknownField*)google::protobuf::UnknownField*’ at /usr/include/c++/14/bits/stl_algobase.h:651:7, inlined from ‘std::__uninitialized_copy::__uninit_copy > > >, google::protobuf::UnknownField*>(std::move_iterator<__gnu_cxx::__normal_iterator > > >, std::move_iterator<__gnu_cxx::__normal_iterator > > >, google::protobuf::UnknownField*)google::protobuf::UnknownField*’ at /usr/include/c++/14/bits/stl_uninitialized.h:147:27, inlined from ‘std::uninitialized_copy > > >, google::protobuf::UnknownField*>(std::move_iterator<__gnu_cxx::__normal_iterator > > >, std::move_iterator<__gnu_cxx::__normal_iterator > > >, google::protobuf::UnknownField*)google::protobuf::UnknownField*’ at /usr/include/c++/14/bits/stl_uninitialized.h:185:15, inlined from ‘std::__uninitialized_copy_a > > >, google::protobuf::UnknownField*, google::protobuf::UnknownField>(std::move_iterator<__gnu_cxx::__normal_iterator > > >, std::move_iterator<__gnu_cxx::__normal_iterator > > >, google::protobuf::UnknownField*, std::allocator&)google::protobuf::UnknownField*’ at /usr/include/c++/14/bits/stl_uninitialized.h:373:37, inlined from ‘std::vector >::_M_range_insert > > > >(__gnu_cxx::__normal_iterator > >, std::move_iterator<__gnu_cxx::__normal_iterator > > >, std::move_iterator<__gnu_cxx::__normal_iterator > > >, std::forward_iterator_tag)void’ at /usr/include/c++/14/bits/vector.tcc:1022:38, inlined from ‘std::vector >::insert > > >, void>(__gnu_cxx::__normal_iterator > >, std::move_iterator<__gnu_cxx::__normal_iterator > > >, std::move_iterator<__gnu_cxx::__normal_iterator > > >)__gnu_cxx::__normal_iterator > >’ at /usr/include/c++/14/bits/stl_vector.h:1488:19, inlined from ‘google::protobuf::UnknownFieldSet::MergeFromAndDestroy(google::protobuf::UnknownFieldSet*)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/unknown_field_set.cc:99:19: /usr/include/c++/14/bits/stl_algobase.h:452:30: warning: ‘memmove’ writing between 17 and 9223372036854775792 bytes into a region of size 0 overflows the destination [-Wstringop-overflow=] 452 | __builtin_memmove(__result, __first, sizeof(_Tp) * _Num); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/14/x86_64-redhat-linux/bits/c++allocator.h:33, from /usr/include/c++/14/bits/allocator.h:46, from /usr/include/c++/14/string:43: In member function ‘std::__new_allocator::allocate(unsigned long, void const*)’, inlined from ‘std::allocator_traits >::allocate(std::allocator&, unsigned long)’ at /usr/include/c++/14/bits/alloc_traits.h:478:28, inlined from ‘std::_Vector_base >::_M_allocate(unsigned long)’ at /usr/include/c++/14/bits/stl_vector.h:380:33, inlined from ‘std::vector >::_M_range_insert > > > >(__gnu_cxx::__normal_iterator > >, std::move_iterator<__gnu_cxx::__normal_iterator > > >, std::move_iterator<__gnu_cxx::__normal_iterator > > >, std::forward_iterator_tag)void’ at /usr/include/c++/14/bits/vector.tcc:1013:40, inlined from ‘std::vector >::insert > > >, void>(__gnu_cxx::__normal_iterator > >, std::move_iterator<__gnu_cxx::__normal_iterator > > >, std::move_iterator<__gnu_cxx::__normal_iterator > > >)__gnu_cxx::__normal_iterator > >’ at /usr/include/c++/14/bits/stl_vector.h:1488:19, inlined from ‘google::protobuf::UnknownFieldSet::MergeFromAndDestroy(google::protobuf::UnknownFieldSet*)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/unknown_field_set.cc:99:19: /usr/include/c++/14/bits/new_allocator.h:151:55: note: at offset [-9223372036854775808, -1] into destination object of size [16, 9223372036854775792] allocated by ‘operator new(unsigned long)’ 151 | return static_cast<_Tp*>(_GLIBCXX_OPERATOR_NEW(__n * sizeof(_Tp))); | ^ [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-expm1minus-sse2-rr2-lut16-p3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x4c8-minmax-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x4c8-minmax-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x4c8-minmax-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x4c8-minmax-sse2-ld128.c [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld64.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x4c8__sse2_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld64.c:54:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld64.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x4c8__sse2_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld64.c:30:46: note: object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld128.c [ 32%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/util/field_mask_util.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/util/field_mask_util.cc.o -MF CMakeFiles/libprotobuf.dir/src/google/protobuf/util/field_mask_util.cc.o.d -o CMakeFiles/libprotobuf.dir/src/google/protobuf/util/field_mask_util.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/field_mask_util.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld128.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x4c8__sse2_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld128.c:54:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld128.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x4c8__sse2_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse2-ld128.c:30:46: note: object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld64.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse2_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld64.c:60:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld64.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse2_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld64.c:30:46: note: object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld64.c:63:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 63 | __m128i vinput_zero_point2 = _mm_cvtsi32_si128(*((const int*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld64.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:31: In function ‘_mm_load1_ps’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse2_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld64.c:272:34: /usr/lib/gcc/x86_64-redhat-linux/14/include/xmmintrin.h:920:10: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 920 | return _mm_set1_ps (*__P); | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld64.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse2_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld64.c:30:46: note: at offset 20 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld128.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld128.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse2_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld128.c:60:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld128.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse2_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld128.c:30:46: note: object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld128.c:63:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 63 | __m128i vinput_zero_point2 = _mm_cvtsi32_si128(*((const int*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld128.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:31: In function ‘_mm_load1_ps’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse2_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld128.c:256:34: /usr/lib/gcc/x86_64-redhat-linux/14/include/xmmintrin.h:920:10: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 920 | return _mm_set1_ps (*__P); | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld128.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse2_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse2-ld128.c:30:46: note: at offset 20 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld64.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse2_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld64.c:66:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld64.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse2_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld64.c:30:46: note: object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse2_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld64.c:69:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld64.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse2_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld64.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/field_mask_util.cc: In member function ‘void google::protobuf::util::{anonymous}::FieldMaskTree::RemovePath(const std::string&, const google::protobuf::Descriptor*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/field_mask_util.cc:369:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 369 | for (int i = 0; i < parts.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/field_mask_util.cc:375:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 375 | i != parts.size() - 1)) { | ~~^~~~~~~~~~~~~~~~~~~ [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld128.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld128.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse2_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld128.c:66:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld128.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse2_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld128.c:30:46: note: object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse2_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld128.c:69:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld128.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse2_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse2-ld128.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse2-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse2-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse2-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse2-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse2-ld64.c [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse2-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse2-ld128.c [ 32%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld64.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x4c8__sse2_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld64.c:52:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld64.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x4c8__sse2_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld64.c:29:46: note: object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld128.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld128.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x4c8__sse2_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld128.c:52:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld128.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x4c8__sse2_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse2-ld128.c:29:46: note: object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld64.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse2_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld64.c:58:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld64.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse2_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld64.c:29:46: note: object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld64.c:61:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | __m128i vinput_zero_point2 = _mm_cvtsi32_si128(*((const int*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld64.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:31: In function ‘_mm_load1_ps’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse2_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld64.c:176:34: /usr/lib/gcc/x86_64-redhat-linux/14/include/xmmintrin.h:920:10: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 920 | return _mm_set1_ps (*__P); | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld64.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse2_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld64.c:29:46: note: at offset 20 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld128.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld128.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse2_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld128.c:58:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld128.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse2_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld128.c:29:46: note: object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld128.c:61:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | __m128i vinput_zero_point2 = _mm_cvtsi32_si128(*((const int*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld128.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:31: In function ‘_mm_load1_ps’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse2_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld128.c:172:34: /usr/lib/gcc/x86_64-redhat-linux/14/include/xmmintrin.h:920:10: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 920 | return _mm_set1_ps (*__P); | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld128.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse2_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse2-ld128.c:29:46: note: at offset 20 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld64.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse2_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld64.c:64:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld64.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse2_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld64.c:29:46: note: object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse2_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld64.c:67:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld64.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse2_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld64.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld128.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld128.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse2_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld128.c:64:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld128.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse2_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld128.c:29:46: note: object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse2_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld128.c:67:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld128.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse2_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse2-ld128.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/util/internal/datapiece.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/util/internal/datapiece.cc.o -MF CMakeFiles/libprotobuf.dir/src/google/protobuf/util/internal/datapiece.cc.o.d -o CMakeFiles/libprotobuf.dir/src/google/protobuf/util/internal/datapiece.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x4c8-minmax-sse2-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 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CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-sse2-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-sse2-ld64.c [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-sse2-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-sse2-ld128.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = int; From = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:75:34: required from ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = int; From = unsigned int]’ 75 | return ValidateNumberConversion(after, before); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:357:49: required from ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = int]’ 357 | return NumberConvertAndCheck(u32_); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:140:33: required from here 140 | return GenericConvert(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:56:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 56 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:57:36: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 57 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = int; From = long unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:75:34: required from ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = int; From = long unsigned int]’ 75 | return ValidateNumberConversion(after, before); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:359:49: required from ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = int]’ 359 | return NumberConvertAndCheck(u64_); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:140:33: required from here 140 | return GenericConvert(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:56:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 56 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:57:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘int’ [-Wsign-compare] 57 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = unsigned int; From = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:75:34: required from ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = unsigned int; From = int]’ 75 | return ValidateNumberConversion(after, before); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:353:48: required from ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = unsigned int]’ 353 | return NumberConvertAndCheck(i32_); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:153:34: required from here 153 | return GenericConvert(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:56:13: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 56 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:57:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 57 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = long int; From = long unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:75:34: required from ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = long int; From = long unsigned int]’ 75 | return ValidateNumberConversion(after, before); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:359:49: required from ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = long int]’ 359 | return NumberConvertAndCheck(u64_); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:166:33: required from here 166 | return GenericConvert(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:56:13: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 56 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:57:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘long int’ [-Wsign-compare] 57 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = long unsigned int; From = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:75:34: required from ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = long unsigned int; From = int]’ 75 | return ValidateNumberConversion(after, before); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:353:48: required from ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = long unsigned int]’ 353 | return NumberConvertAndCheck(i32_); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:179:34: required from here 179 | return GenericConvert(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:56:13: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘int’ [-Wsign-compare] 56 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:57:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 57 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-sse2-ld64.c.o /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = long unsigned int; From = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:75:34: required from ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = long unsigned int; From = long int]’ 75 | return ValidateNumberConversion(after, before); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:355:48: required from ‘google::protobuf::util::statusor_internal::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = long unsigned int]’ 355 | return NumberConvertAndCheck(i64_); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:179:34: required from here 179 | return GenericConvert(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:56:13: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘long int’ [-Wsign-compare] 56 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/datapiece.cc:57:36: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 57 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-sse2-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-sse2-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-sse2-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-sse2-ld64.c [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-sse2-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-sse2-ld128.c [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c8s8r-minmax-fp32-sse2-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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google::protobuf::util::converter::DefaultValueObjectWriter::Node::~Node()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h:157:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 157 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc: In member function ‘virtual void google::protobuf::util::converter::DefaultValueObjectWriter::Node::PopulateChildren(const google::protobuf::util::converter::TypeInfo*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:315:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 315 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:392:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 392 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-sse2-mul16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 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-mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/util/internal/json_escaping.cc.o -MF CMakeFiles/libprotobuf.dir/src/google/protobuf/util/internal/json_escaping.cc.o.d -o CMakeFiles/libprotobuf.dir/src/google/protobuf/util/internal/json_escaping.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_escaping.cc [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_escaping.cc: In function ‘bool google::protobuf::util::converter::{anonymous}::ReadCodePoint(google::protobuf::stringpiece_internal::StringPiece, int, uint32_t*, int*, int*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_escaping.cc:182:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 182 | while (*num_left > 0 && index < str.size()) { | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_escaping.cc: In static member function ‘static void google::protobuf::util::converter::JsonEscaping::Escape(google::protobuf::strings::ByteSource*, google::protobuf::strings::ByteSink*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_escaping.cc:328:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 328 | } while (i < str.length()); // case iv | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_escaping.cc: In static member function ‘static void google::protobuf::util::converter::JsonEscaping::Escape(google::protobuf::stringpiece_internal::StringPiece, google::protobuf::strings::ByteSink*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_escaping.cc:352:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 352 | for (int i = 0; i < len; i++) { | ~~^~~~~ [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 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CMakeFiles/libprotobuf.dir/src/google/protobuf/util/internal/json_objectwriter.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_objectwriter.cc [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_objectwriter.cc:31: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_objectwriter.h: In constructor ‘google::protobuf::util::converter::JsonObjectWriter::JsonObjectWriter(google::protobuf::stringpiece_internal::StringPiece, google::protobuf::io::CodedOutputStream*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_objectwriter.h:105:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 105 | for (int i = 1; i < indent_string.length(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u8.c [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u16.c [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u24.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u24.c [ 33%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotobuf.dir/src/google/protobuf/util/internal/json_stream_parser.cc.o cd 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-DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-u32.c [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c8.c [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_stream_parser.cc: In function ‘void google::protobuf::util::converter::ReplaceInvalidCodePoints(google::protobuf::stringpiece_internal::StringPiece, const std::string&, std::string*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_stream_parser.cc:87:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 87 | if (n_valid_bytes == str.size()) { | ~~~~~~~~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_stream_parser.cc: In function ‘bool google::protobuf::util::converter::ConsumeKey(google::protobuf::stringpiece_internal::StringPiece*, google::protobuf::stringpiece_internal::StringPiece*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_stream_parser.cc:102:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | for (; len < input->size(); ++len) { | ~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_stream_parser.cc: In function ‘bool google::protobuf::util::converter::ConsumeKeyPermissive(google::protobuf::stringpiece_internal::StringPiece*, google::protobuf::stringpiece_internal::StringPiece*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_stream_parser.cc:117:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 117 | for (; len < input->size(); ++len) { | ~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_stream_parser.cc: In member function ‘google::protobuf::util::converter::JsonStreamParser::TokenType google::protobuf::util::converter::JsonStreamParser::GetNextTokenType()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_stream_parser.cc:963:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 963 | if (size >= kKeywordTrue.length() && | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_stream_parser.cc:967:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 967 | if (size >= kKeywordFalse.length() && | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_stream_parser.cc:971:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 971 | if (size >= kKeywordNull.length() && | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c24.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c24.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c24.c [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c8.c [ 33%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c16.c [ 33%] Building C object 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CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l8c8s8r-minmax-fp32-sse2-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l8c8s8r-minmax-fp32-sse2-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l8c8s8r-minmax-fp32-sse2-mul16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/proto_writer.cc: In member function ‘virtual std::string google::protobuf::util::converter::ProtoWriter::ProtoElement::ToString() const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/proto_writer.cc:412:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 412 | while (i < name.size() && | 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-DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc: In member function ‘void google::protobuf::util::converter::ProtoStreamObjectWriter::AnyWriter::StartAny(const google::protobuf::util::converter::DataPiece&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc:381:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/utility.cc: In function ‘void google::protobuf::util::converter::InitWellKnownTypes()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/utility.cc:348:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 348 | for (int i = 0; i < GOOGLE_ARRAYSIZE(well_known_types_name_array_); ++i) { [ 34%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x4c8-minmax-fp32-sse2-ld64.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x4c8-minmax-fp32-sse2-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x4c8-minmax-fp32-sse2-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x4c8-minmax-fp32-sse2-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x4c8-minmax-fp32-sse2-ld64.c [ 34%] Building C object 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x4c8-minmax-fp32-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x4c8-minmax-fp32-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x4c8-minmax-fp32-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x4c8-minmax-fp32-sse2-ld128.c [ 34%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2-minmax-fp32-sse2-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2-minmax-fp32-sse2-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2-minmax-fp32-sse2-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2-minmax-fp32-sse2-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2-minmax-fp32-sse2-ld64.c [ 34%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2-minmax-fp32-sse2-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2-minmax-fp32-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2-minmax-fp32-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2-minmax-fp32-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2-minmax-fp32-sse2-ld128.c [ 34%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/json_util.cc:40: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h: In destructor ‘virtual google::protobuf::util::converter::DefaultValueObjectWriter::Node::~Node()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h:157:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 157 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/json_util.cc:42: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_objectwriter.h: In constructor ‘google::protobuf::util::converter::JsonObjectWriter::JsonObjectWriter(google::protobuf::stringpiece_internal::StringPiece, google::protobuf::io::CodedOutputStream*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/internal/json_objectwriter.h:105:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 105 | for (int i = 1; i < indent_string.length(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/json_util.cc: In member function ‘virtual void google::protobuf::util::internal::ZeroCopyStreamByteSink::Append(const char*, size_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/util/json_util.cc:67:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 67 | if (len <= buffer_size_) { // NOLINT | ~~~~^~~~~~~~~~~~~~~ [ 34%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c [ 34%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c8-minmax-fp32-sse2-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c8-minmax-fp32-sse2-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c8-minmax-fp32-sse2-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c8-minmax-fp32-sse2-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c8-minmax-fp32-sse2-ld64.c [ 34%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c8-minmax-fp32-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c8-minmax-fp32-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c8-minmax-fp32-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x4c8-minmax-fp32-sse2-ld128.c [ 34%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x4c2-minmax-fp32-sse2-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x4c2-minmax-fp32-sse2-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x4c2-minmax-fp32-sse2-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x4c2-minmax-fp32-sse2-ld64.c [ 34%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x4c2-minmax-fp32-sse2-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x4c2-minmax-fp32-sse2-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x4c2-minmax-fp32-sse2-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x4c2-minmax-fp32-sse2-ld128.c [ 34%] Building CXX object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-u16.c [ 35%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-u24.c.o 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-u24.c [ 35%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-u32.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-u32.c [ 35%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c8.c.o cd 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse2-c16.c.o -MF CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse2-c16.c.o.d -o CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse2-c16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/u8-ibilinear/gen/u8-ibilinear-sse2-c16.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/u8-maxpool/u8-maxpool-9p8x-minmax-sse2-c16.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/u8-maxpool/u8-maxpool-9p8x-minmax-sse2-c16.c.o -MF CMakeFiles/microkernels-all.dir/src/u8-maxpool/u8-maxpool-9p8x-minmax-sse2-c16.c.o.d -o CMakeFiles/microkernels-all.dir/src/u8-maxpool/u8-maxpool-9p8x-minmax-sse2-c16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/u8-maxpool/u8-maxpool-9p8x-minmax-sse2-c16.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/u8-rmax/u8-rmax-sse2-u16.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/u8-rmax/u8-rmax-sse2-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/u8-rmax/u8-rmax-sse2-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/u8-rmax/u8-rmax-sse2-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/u8-rmax/u8-rmax-sse2-u16.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/u8-vclamp/u8-vclamp-sse2-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/u8-vclamp/u8-vclamp-sse2-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/u8-vclamp/u8-vclamp-sse2-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/u8-vclamp/u8-vclamp-sse2-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/u8-vclamp/u8-vclamp-sse2-u64.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-16x16-reuse-mov-sse2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-16x16-reuse-mov-sse2.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-16x16-reuse-mov-sse2.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-16x16-reuse-mov-sse2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-transposec/gen/x8-transposec-16x16-reuse-mov-sse2.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-16x16-reuse-switch-sse2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-16x16-reuse-switch-sse2.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-16x16-reuse-switch-sse2.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-16x16-reuse-switch-sse2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-transposec/gen/x8-transposec-16x16-reuse-switch-sse2.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x2-sse2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x2-sse2.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x2-sse2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-zip/x8-zip-x2-sse2.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x3-sse2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x4-sse2.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x4-sse2.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x4-sse2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-zip/x8-zip-x4-sse2.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-xm-sse2.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x16-transposec/x16-transposec-4x8-sse2.c.o -MF CMakeFiles/microkernels-all.dir/src/x16-transposec/x16-transposec-4x8-sse2.c.o.d -o CMakeFiles/microkernels-all.dir/src/x16-transposec/x16-transposec-4x8-sse2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x16-transposec/x16-transposec-4x8-sse2.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x2c4-gemm-goi-sse2-u4-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x2c4-gemm-goi-sse2-u4-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x2c4-gemm-goi-sse2-u4-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x2c4-gemm-goi-sse2-u4-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x2c4-gemm-goi-sse2-u4-prfm.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x2c4-gemm-goi-sse2-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x2c4-gemm-goi-sse2-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x2c4-gemm-goi-sse2-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x2c4-gemm-goi-sse2-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x2c4-gemm-goi-sse2-u4.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u4-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u4-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u4-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u4-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u4-prfm.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u4.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u8-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u8-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u8-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u8-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u8-prfm.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x8-gemm-goi-sse2-u8.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u4-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u4-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u4-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u4-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u4-prfm.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u4.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u8-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u8-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u8-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u8-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u8-prfm.c [ 36%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u8.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-sse2-u8.c [ 36%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/generated_message_util.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-mov-sse2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-mov-sse2.c.o -MF CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-mov-sse2.c.o.d -o CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-mov-sse2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x64-transposec/gen/x64-transposec-2x2-multi-mov-sse2.c In file included from /usr/include/string.h:548, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/port.h:39, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/common.h:48, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/message_lite.h:46, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/message_lite.cc:36: In function ‘memcpy’, inlined from ‘google::protobuf::io::EpsCopyOutputStream::WriteRaw(void const*, int, unsigned char*)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/coded_stream.h:684:16, inlined from ‘google::protobuf::internal::ImplicitWeakMessage::_InternalSerialize(unsigned char*, google::protobuf::io::EpsCopyOutputStream*) const’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/implicit_weak_message.h:103:28, inlined from ‘google::protobuf::MessageLite::SerializePartialToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/message_lite.cc:411:30: /usr/include/bits/string_fortified.h:29:33: warning: ‘__memcpy_chk’ specified size between 18446744071562067968 and 18446744073709551615 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-multi-sse2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse2 -mno-sse3 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-multi-sse2.c.o -MF CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-multi-sse2.c.o.d -o CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-multi-sse2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x64-transposec/gen/x64-transposec-2x2-multi-multi-sse2.c [ 38%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/parse_context.cc.o cd 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4.c [ 38%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-6x4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-6x4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-6x4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-6x4.c [ 38%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-ssse3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 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-DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/stubs/common.cc.o -MF CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/stubs/common.cc.o.d -o CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/stubs/common.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/stubs/common.cc [ 38%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-gemmlowp-ssse3.c.o cd 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-u4.c [ 39%] Linking CXX static library libprotobuf-lite.a cd 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"CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/repeated_ptr_field.cc.o" "CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/stubs/bytestream.cc.o" "CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/stubs/common.cc.o" "CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/stubs/int128.cc.o" "CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/stubs/status.cc.o" "CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/stubs/statusor.cc.o" "CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/stubs/stringpiece.cc.o" "CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/stubs/stringprintf.cc.o" "CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/stubs/structurally_valid.cc.o" "CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/stubs/strutil.cc.o" "CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/stubs/time.cc.o" "CMakeFiles/libprotobuf-lite.dir/src/google/protobuf/wire_format_lite.cc.o" [ 39%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-u20.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-u20.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-u20.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-u20.c [ 39%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-u24.c /usr/bin/gmake -f _deps/fft2d-build/CMakeFiles/fft2d_fftsg2d.dir/build.make _deps/fft2d-build/CMakeFiles/fft2d_fftsg2d.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/cmake/modules/fft2d /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build/CMakeFiles/fft2d_fftsg2d.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/fft2d-build/CMakeFiles/fft2d_fftsg2d.dir/build.make 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_deps/fft2d-build/CMakeFiles/fft2d_fftsg2d.dir/__/__/fft2d/fftsg2d.c.o -MF CMakeFiles/fft2d_fftsg2d.dir/__/__/fft2d/fftsg2d.c.o.d -o CMakeFiles/fft2d_fftsg2d.dir/__/__/fft2d/fftsg2d.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/fft2d/fftsg2d.c [ 39%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-sse41-rr2-p6-u4.c [ 39%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-sse41-rr2-p6-u8.c [ 39%] Linking C shared library libfft2d_fftsg2d.so cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/fft2d-build && /usr/bin/cmake -E cmake_link_script CMakeFiles/fft2d_fftsg2d.dir/link.txt --verbose=1 /usr/bin/gcc -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-sse41-rr2-p6-u16.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 39%] Built target fft2d_fftsg2d /usr/bin/gmake -f _deps/ruy-build/third_party/cpuinfo/CMakeFiles/cpuinfo.dir/build.make _deps/ruy-build/third_party/cpuinfo/CMakeFiles/cpuinfo.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo 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-DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-sse41-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-sse41-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vrnd/gen/f32-vrndd-sse41-u8.c [ 39%] Building C object _deps/ruy-build/third_party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/isa.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/third_party/cpuinfo && /usr/bin/gcc -DCPUINFO_LOG_LEVEL=2 -DNOMINMAX=1 -D_GNU_SOURCE=1 -Dcpuinfo_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-u4.c [ 39%] Building C object _deps/ruy-build/third_party/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/multiline.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/third_party/cpuinfo && /usr/bin/gcc -DCPUINFO_LOG_LEVEL=2 -DNOMINMAX=1 -D_GNU_SOURCE=1 -Dcpuinfo_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -MD -MT _deps/ruy-build/third_party/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/cpulist.c.o -MF CMakeFiles/cpuinfo.dir/src/linux/cpulist.c.o.d -o CMakeFiles/cpuinfo.dir/src/linux/cpulist.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/src/linux/cpulist.c [ 39%] Building C object _deps/ruy-build/third_party/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/processors.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/third_party/cpuinfo && /usr/bin/gcc -DCPUINFO_LOG_LEVEL=2 -DNOMINMAX=1 -D_GNU_SOURCE=1 -Dcpuinfo_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/deps/clog/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables 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-specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -shared -Wl,-soname,libcpuinfo.so -o libcpuinfo.so CMakeFiles/cpuinfo.dir/src/init.c.o CMakeFiles/cpuinfo.dir/src/api.c.o CMakeFiles/cpuinfo.dir/src/cache.c.o CMakeFiles/cpuinfo.dir/src/x86/init.c.o CMakeFiles/cpuinfo.dir/src/x86/info.c.o CMakeFiles/cpuinfo.dir/src/x86/vendor.c.o CMakeFiles/cpuinfo.dir/src/x86/uarch.c.o CMakeFiles/cpuinfo.dir/src/x86/name.c.o CMakeFiles/cpuinfo.dir/src/x86/topology.c.o CMakeFiles/cpuinfo.dir/src/x86/isa.c.o CMakeFiles/cpuinfo.dir/src/x86/cache/init.c.o CMakeFiles/cpuinfo.dir/src/x86/cache/descriptor.c.o CMakeFiles/cpuinfo.dir/src/x86/cache/deterministic.c.o CMakeFiles/cpuinfo.dir/src/x86/linux/init.c.o CMakeFiles/cpuinfo.dir/src/x86/linux/cpuinfo.c.o CMakeFiles/cpuinfo.dir/src/linux/smallfile.c.o CMakeFiles/cpuinfo.dir/src/linux/multiline.c.o CMakeFiles/cpuinfo.dir/src/linux/cpulist.c.o CMakeFiles/cpuinfo.dir/src/linux/processors.c.o deps/clog/libclog.a [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u12.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 40%] Built target cpuinfo /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_prepacked_cache.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_prepacked_cache.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_prepacked_cache.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_prepacked_cache.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_prepacked_cache.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 40%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_prepacked_cache.dir/prepacked_cache.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_prepacked_cache.dir/prepacked_cache.cc.o -MF CMakeFiles/ruy_prepacked_cache.dir/prepacked_cache.cc.o.d -o CMakeFiles/ruy_prepacked_cache.dir/prepacked_cache.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/prepacked_cache.cc [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u16.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u20.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u20.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u20.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u20.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u20.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-u24.c [ 40%] Linking CXX static library libruy_prepacked_cache.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_prepacked_cache.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_prepacked_cache.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_prepacked_cache.a CMakeFiles/ruy_prepacked_cache.dir/prepacked_cache.cc.o /usr/bin/ranlib libruy_prepacked_cache.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 40%] Built target ruy_prepacked_cache /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_thread_pool.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_thread_pool.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_thread_pool.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_thread_pool.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_thread_pool.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 40%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_thread_pool.dir/thread_pool.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_thread_pool.dir/thread_pool.cc.o -MF CMakeFiles/ruy_thread_pool.dir/thread_pool.cc.o.d -o CMakeFiles/ruy_thread_pool.dir/thread_pool.cc.o -c 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-sse41-expm1minus-rr1-lut8-p4h3ts-div-u4.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse41-expm1minus-rr1-lut8-p4h3ts-div-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse41-expm1minus-rr1-lut8-p4h3ts-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-sse41-expm1minus-rr1-lut8-p4h3ts-div-u16.c [ 40%] Linking CXX static library libruy_thread_pool.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_thread_pool.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_thread_pool.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_thread_pool.a CMakeFiles/ruy_thread_pool.dir/thread_pool.cc.o /usr/bin/ranlib libruy_thread_pool.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 40%] Built target ruy_thread_pool /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/hardware-config.dir/build.make _deps/xnnpack-build/CMakeFiles/hardware-config.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build/CMakeFiles/hardware-config.dir/DependInfo.cmake "--color=" [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse41-expm1minus-rr1-lut8-p4h3ts-div-u20.c.o gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/hardware-config.dir/build.make _deps/xnnpack-build/CMakeFiles/hardware-config.dir/build cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 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CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse41-expm1minus-rr1-p6h5ts-nr1-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse41-expm1minus-rr1-p6h5ts-nr1-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-sse41-expm1minus-rr1-p6h5ts-nr1-u4.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/binary-elementwise-nd.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 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-march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/constant-pad-nd.c.o -MF CMakeFiles/operators.dir/src/operators/constant-pad-nd.c.o.d -o CMakeFiles/operators.dir/src/operators/constant-pad-nd.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operators/constant-pad-nd.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-sse41-expm1minus-rr1-p6h5ts-nr2-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-f16-cvt-sse41.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-f16-cvt-sse41.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-f16-cvt-sse41.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-f16-cvt-sse41.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/deconvolution-nhwc.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-roundz-sse41.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-roundz-sse41.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-roundz-sse41.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-roundz-sse41.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x4c8-minmax-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x4c8-minmax-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x4c8-minmax-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x4c8-minmax-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x4c8-minmax-sse41-ld128.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/dynamic-fully-connected-nc.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/dynamic-fully-connected-nc.c.o -MF CMakeFiles/operators.dir/src/operators/dynamic-fully-connected-nc.c.o.d -o CMakeFiles/operators.dir/src/operators/dynamic-fully-connected-nc.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operators/dynamic-fully-connected-nc.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld64.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/pmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/tmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/smmintrin.h:32, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld64.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x4c8__sse41_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld64.c:54:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld64.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x4c8__sse41_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld64.c:30:46: note: object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/fully-connected-nc.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/fully-connected-nc.c.o -MF CMakeFiles/operators.dir/src/operators/fully-connected-nc.c.o.d -o CMakeFiles/operators.dir/src/operators/fully-connected-nc.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operators/fully-connected-nc.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld128.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/pmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/tmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/smmintrin.h:32, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld128.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x4c8__sse41_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld128.c:54:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld128.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x4c8__sse41_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x4c8-minmax-sse41-ld128.c:30:46: note: object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld64.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/pmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/tmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/smmintrin.h:32, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld64.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse41_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld64.c:60:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld64.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse41_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld64.c:30:46: note: object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld64.c:63:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 63 | __m128i vinput_zero_point2 = _mm_cvtsi32_si128(*((const int*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld64.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:31: In function ‘_mm_load1_ps’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse41_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld64.c:242:34: /usr/lib/gcc/x86_64-redhat-linux/14/include/xmmintrin.h:920:10: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 920 | return _mm_set1_ps (*__P); | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld64.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse41_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld64.c:30:46: note: at offset 20 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld128.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/global-average-pooling-ncw.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/global-average-pooling-ncw.c.o -MF CMakeFiles/operators.dir/src/operators/global-average-pooling-ncw.c.o.d -o CMakeFiles/operators.dir/src/operators/global-average-pooling-ncw.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operators/global-average-pooling-ncw.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/pmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/tmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/smmintrin.h:32, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld128.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse41_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld128.c:60:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld128.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse41_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld128.c:30:46: note: object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld128.c:63:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 63 | __m128i vinput_zero_point2 = _mm_cvtsi32_si128(*((const int*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld128.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:31: In function ‘_mm_load1_ps’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse41_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld128.c:226:34: /usr/lib/gcc/x86_64-redhat-linux/14/include/xmmintrin.h:920:10: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 920 | return _mm_set1_ps (*__P); | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld128.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__sse41_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-sse41-ld128.c:30:46: note: at offset 20 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld64.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/global-average-pooling-nwc.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/global-average-pooling-nwc.c.o -MF CMakeFiles/operators.dir/src/operators/global-average-pooling-nwc.c.o.d -o CMakeFiles/operators.dir/src/operators/global-average-pooling-nwc.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operators/global-average-pooling-nwc.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/pmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/tmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/smmintrin.h:32, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld64.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse41_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld64.c:66:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld64.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse41_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld64.c:30:46: note: object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse41_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld64.c:69:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld64.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse41_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld64.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld128.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/lut-elementwise-nc.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/lut-elementwise-nc.c.o -MF CMakeFiles/operators.dir/src/operators/lut-elementwise-nc.c.o.d -o CMakeFiles/operators.dir/src/operators/lut-elementwise-nc.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operators/lut-elementwise-nc.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/pmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/tmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/smmintrin.h:32, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld128.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse41_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld128.c:66:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld128.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse41_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld128.c:30:46: note: object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse41_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld128.c:69:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld128.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__sse41_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-sse41-ld128.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse41-ld64.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/max-pooling-nhwc.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x4c8-minmax-sse41-ld128.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld64.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/prelu-nc.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/prelu-nc.c.o -MF CMakeFiles/operators.dir/src/operators/prelu-nc.c.o.d -o CMakeFiles/operators.dir/src/operators/prelu-nc.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operators/prelu-nc.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/pmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/tmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/smmintrin.h:32, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld64.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x4c8__sse41_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld64.c:52:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld64.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x4c8__sse41_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld64.c:29:46: note: object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld128.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/reduce-nd.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/reduce-nd.c.o -MF CMakeFiles/operators.dir/src/operators/reduce-nd.c.o.d -o CMakeFiles/operators.dir/src/operators/reduce-nd.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operators/reduce-nd.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/pmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/tmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/smmintrin.h:32, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld128.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x4c8__sse41_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld128.c:52:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld128.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x4c8__sse41_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-sse41-ld128.c:29:46: note: object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld64.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/resize-bilinear-nchw.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/resize-bilinear-nchw.c.o -MF CMakeFiles/operators.dir/src/operators/resize-bilinear-nchw.c.o.d -o CMakeFiles/operators.dir/src/operators/resize-bilinear-nchw.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operators/resize-bilinear-nchw.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/pmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/tmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/smmintrin.h:32, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld64.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse41_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld64.c:58:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld64.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse41_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld64.c:29:46: note: object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld64.c:61:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | __m128i vinput_zero_point2 = _mm_cvtsi32_si128(*((const int*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld64.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:31: In function ‘_mm_load1_ps’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse41_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld64.c:146:34: /usr/lib/gcc/x86_64-redhat-linux/14/include/xmmintrin.h:920:10: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 920 | return _mm_set1_ps (*__P); | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld64.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse41_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld64.c:29:46: note: at offset 20 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld128.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/resize-bilinear-nhwc.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/resize-bilinear-nhwc.c.o -MF CMakeFiles/operators.dir/src/operators/resize-bilinear-nhwc.c.o.d -o CMakeFiles/operators.dir/src/operators/resize-bilinear-nhwc.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operators/resize-bilinear-nhwc.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/pmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/tmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/smmintrin.h:32, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld128.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse41_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld128.c:58:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld128.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse41_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld128.c:29:46: note: object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld128.c:61:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | __m128i vinput_zero_point2 = _mm_cvtsi32_si128(*((const int*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld128.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:31: In function ‘_mm_load1_ps’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse41_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld128.c:142:34: /usr/lib/gcc/x86_64-redhat-linux/14/include/xmmintrin.h:920:10: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 920 | return _mm_set1_ps (*__P); | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld128.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__sse41_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-sse41-ld128.c:29:46: note: at offset 20 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld64.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/rope-nthc.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/rope-nthc.c.o -MF CMakeFiles/operators.dir/src/operators/rope-nthc.c.o.d -o CMakeFiles/operators.dir/src/operators/rope-nthc.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operators/rope-nthc.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/pmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/tmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/smmintrin.h:32, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld64.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse41_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld64.c:64:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld64.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse41_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld64.c:29:46: note: object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse41_ld64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld64.c:67:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld64.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse41_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld64.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld128.c [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/scaled-dot-product-attention-nhtc.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/scaled-dot-product-attention-nhtc.c.o -MF CMakeFiles/operators.dir/src/operators/scaled-dot-product-attention-nhtc.c.o.d -o CMakeFiles/operators.dir/src/operators/scaled-dot-product-attention-nhtc.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operators/scaled-dot-product-attention-nhtc.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/pmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/tmmintrin.h:31, from /usr/lib/gcc/x86_64-redhat-linux/14/include/smmintrin.h:32, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld128.c:12: In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse41_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld128.c:64:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript ‘const __m128i_u[0]’ is partly outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld128.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse41_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld128.c:29:46: note: object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘_mm_loadu_si128’, inlined from ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse41_ld128’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld128.c:67:41: /usr/lib/gcc/x86_64-redhat-linux/14/include/emmintrin.h:706:10: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 706 | return *__P; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld128.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__sse41_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-sse41-ld128.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x4c8-minmax-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 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-DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-sse41-ld128.c [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c4s4r-minmax-fp32-sse41-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c4s4r-minmax-fp32-sse41-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c4s4r-minmax-fp32-sse41-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c4s4r-minmax-fp32-sse41-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c4s4r-minmax-fp32-sse41-mul32.c [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/unpooling-nhwc.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/operators.dir/src/operators/unpooling-nhwc.c.o -MF CMakeFiles/operators.dir/src/operators/unpooling-nhwc.c.o.d -o CMakeFiles/operators.dir/src/operators/unpooling-nhwc.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/operators/unpooling-nhwc.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 41%] Built target operators [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c8s8r-minmax-fp32-sse41-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c8s8r-minmax-fp32-sse41-mul16-add16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c8s8r-minmax-fp32-sse41-mul16-add16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c8s8r-minmax-fp32-sse41-mul16-add16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c8s8r-minmax-fp32-sse41-mul16-add16.c /usr/bin/gmake -f _deps/protobuf-build/CMakeFiles/libprotoc.dir/build.make _deps/protobuf-build/CMakeFiles/libprotoc.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c4s4r-minmax-fp32-sse41-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c4s4r-minmax-fp32-sse41-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c4s4r-minmax-fp32-sse41-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c4s4r-minmax-fp32-sse41-mul32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/code_generator.cc: In member function ‘virtual bool google::protobuf::compiler::CodeGenerator::GenerateAll(const std::vector&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/code_generator.cc:56:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 56 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/code_generator.cc: In function ‘void google::protobuf::compiler::ParseGeneratorParameter(const std::string&, std::vector, std::__cxx11::basic_string > >*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/code_generator.cc:112:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 112 | for (int i = 0; i < parts.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c8s8r-minmax-fp32-sse41-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c8s8r-minmax-fp32-sse41-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c8s8r-minmax-fp32-sse41-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c8s8r-minmax-fp32-sse41-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c8s8r-minmax-fp32-sse41-mul16.c [ 41%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/command_line_interface.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DLIBPROTOC_EXPORTS -DNOMINMAX=1 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-DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c4s4r-minmax-fp32-sse41-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c4s4r-minmax-fp32-sse41-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c4s4r-minmax-fp32-sse41-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c4s4r-minmax-fp32-sse41-mul32.c [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c8s8r-minmax-fp32-sse41-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c8s8r-minmax-fp32-sse41-mul16-add16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c8s8r-minmax-fp32-sse41-mul16-add16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c8s8r-minmax-fp32-sse41-mul16-add16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c8s8r-minmax-fp32-sse41-mul16-add16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In function ‘bool google::protobuf::compiler::{anonymous}::TryCreateParentDirectory(const std::string&, const std::string&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:179:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 179 | for (int i = 0; i < parts.size() - 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ [ 41%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c8s8r-minmax-fp32-sse41-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c8s8r-minmax-fp32-sse41-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c8s8r-minmax-fp32-sse41-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c8s8r-minmax-fp32-sse41-mul16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘void google::protobuf::compiler::CommandLineInterface::MemoryOutputStream::InsertShiftedInfo(const std::string&, size_t, size_t, google::protobuf::GeneratedCodeInfo&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:689:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int32_t’ {aka ‘int’} [-Wsign-compare] 689 | for (; pos < source_annotation.end() && pos < insertion_content.size() - 1; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:692:17: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int32_t’ {aka ‘int’} [-Wsign-compare] 692 | if (pos >= source_annotation.begin()) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘void google::protobuf::compiler::CommandLineInterface::MemoryOutputStream::UpdateMetadata(const std::string&, size_t, size_t, size_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:751:35: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 751 | if (source_annotation.begin() >= insertion_offset && !crossed_offset) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In destructor ‘virtual google::protobuf::compiler::CommandLineInterface::MemoryOutputStream::~MemoryOutputStream()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:858:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 858 | for (int i = 0; i < data_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘int google::protobuf::compiler::CommandLineInterface::Run(int, const char* const*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1057:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1057 | for (int i = 0; i < output_directives_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1139:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1139 | for (int i = 0; i < parsed_files.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::InitializeDiskSourceTree(google::protobuf::compiler::DiskSourceTree*, google::protobuf::DescriptorDatabase*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1163:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1163 | for (int i = 0; i < proto_path_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘google::protobuf::compiler::CommandLineInterface::ParseArgumentStatus google::protobuf::compiler::CommandLineInterface::ParseArguments(int, const char* const*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1465:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1465 | for (int i = 0; i < arguments.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1470:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1470 | if (i + 1 == arguments.size() || arguments[i + 1][0] == '-') { | ~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘google::protobuf::compiler::CommandLineInterface::ParseArgumentStatus google::protobuf::compiler::CommandLineInterface::InterpretArgument(const std::string&, const std::string&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1708:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1708 | for (int i = 0; i < parts.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::GenerateDependencyManifestFile(const std::vector&, const GeneratorContextMap&, google::protobuf::compiler::DiskSourceTree*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2192:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2192 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2203:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2203 | for (int i = 0; i < relative_output_filenames.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2230:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2230 | for (int i = 0; i < output_filenames.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2232:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2232 | if (i == output_filenames.size() - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::GeneratePluginOutput(const std::vector&, const std::string&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2273:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2273 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::WriteDescriptorSet(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2429:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2429 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2440:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2440 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘void google::protobuf::compiler::CommandLineInterface::PrintFreeFieldNumbers(const google::protobuf::Descriptor*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2613:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2613 | for (int i = 0; i < nested_messages.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c4s4r-minmax-fp32-sse41-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c4s4r-minmax-fp32-sse41-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c4s4r-minmax-fp32-sse41-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c4s4r-minmax-fp32-sse41-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c4s4r-minmax-fp32-sse41-mul32.c [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16-add16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16-add16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16-add16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16-add16.c [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16.c [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c4s4r-minmax-fp32-sse41-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c4s4r-minmax-fp32-sse41-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c4s4r-minmax-fp32-sse41-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c4s4r-minmax-fp32-sse41-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c4s4r-minmax-fp32-sse41-mul32.c [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c8s8r-minmax-fp32-sse41-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c8s8r-minmax-fp32-sse41-mul16-add16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c8s8r-minmax-fp32-sse41-mul16-add16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c8s8r-minmax-fp32-sse41-mul16-add16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c8s8r-minmax-fp32-sse41-mul16-add16.c [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c8s8r-minmax-fp32-sse41-mul16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c8s8r-minmax-fp32-sse41-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c8s8r-minmax-fp32-sse41-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c8s8r-minmax-fp32-sse41-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c8s8r-minmax-fp32-sse41-mul16.c [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c4s4r-minmax-fp32-sse41-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c4s4r-minmax-fp32-sse41-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c4s4r-minmax-fp32-sse41-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c4s4r-minmax-fp32-sse41-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c4s4r-minmax-fp32-sse41-mul32.c [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c8s8r-minmax-fp32-sse41-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c8s8r-minmax-fp32-sse41-mul16-add16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c8s8r-minmax-fp32-sse41-mul16-add16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c8s8r-minmax-fp32-sse41-mul16-add16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c8s8r-minmax-fp32-sse41-mul16-add16.c [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c8s8r-minmax-fp32-sse41-mul16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c4s4r-minmax-fp32-sse41-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c4s4r-minmax-fp32-sse41-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c4s4r-minmax-fp32-sse41-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c4s4r-minmax-fp32-sse41-mul32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc: In constructor ‘google::protobuf::compiler::cpp::FileGenerator::FileGenerator(const google::protobuf::FileDescriptor*, const google::protobuf::compiler::cpp::Options&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:126:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 126 | for (int i = 0; i < msgs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:144:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateMacroUndefs(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:171:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 171 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:174:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 174 | for (int j = 0; j < GOOGLE_ARRAYSIZE(kMacroNames); ++j) { /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:181:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 181 | for (int i = 0; i < names_to_undef.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateGlobalSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:691:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 691 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:710:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 710 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:729:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 729 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:734:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 734 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:743:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 743 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:752:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 752 | for (int i = 0; i < extension_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:763:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 763 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateReflectionInitializationCode(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:816:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 816 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:827:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 827 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:838:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 838 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:881:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 881 | for (int i = 0; i < file_data.size();) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:882:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 882 | for (int j = 0; j < kBytesPerLine && i < file_data.size(); ++i, ++j) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:891:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 891 | for (int i = 0; i < file_data.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateForwardDeclarations(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:1043:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1043 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:1057:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1057 | for (int i = 0; i < classes.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:1062:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1062 | for (int i = 0; i < enums.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateMessageDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:1287:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1287 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateEnumDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:1299:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1299 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateServiceDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:1308:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1308 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateInlineFunctionDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:1342:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1342 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:1354:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1354 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateProto2NamespaceEnumSpecializations(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/file.cc:1371:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1371 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16-add16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16-add16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16-add16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16-add16.c [ 41%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c8s8r-minmax-fp32-sse41-mul16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-sse41-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-sse41-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-sse41-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-sse41-mul32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/generator.cc: In member function ‘virtual bool google::protobuf::compiler::cpp::CppGenerator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/generator.cc:96:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 96 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/generator.cc:43: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/printer.h:87:8: required from here 87 | void AddAnnotation(size_t begin_offset, size_t end_offset, | ^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/printer.h:92:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 92 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-sse41-mul16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-sse41-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-sse41-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-sse41-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-sse41-mul16.c [ 42%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/cpp/helpers.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DLIBPROTOC_EXPORTS -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-sse41-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-sse41-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-sse41-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-sse41-mul32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/helpers.cc: In function ‘std::string google::protobuf::compiler::cpp::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/helpers.cc:314:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 314 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/helpers.cc: In function ‘std::string google::protobuf::compiler::cpp::FilenameIdentifier(const std::string&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/helpers.cc:806:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 806 | for (int i = 0; i < filename.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/helpers.cc: In member function ‘google::protobuf::compiler::cpp::MessageAnalysis google::protobuf::compiler::cpp::MessageSCCAnalyzer::GetSCCAnalysis(const google::protobuf::compiler::SCC*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/helpers.cc:1247:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1247 | for (int i = 0; i < scc->descriptors.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-sse41-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-sse41-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-sse41-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-sse41-mul32.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-sse41-ld64.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-sse41-ld128.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-sse41-ld64.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-sse41-ld128.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-sse41-ld64.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-sse41-ld128.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-sse41-ld64.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-sse41-ld128.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-sse41-ld64.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-sse41-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-sse41-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-sse41-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-sse41-ld128.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c [ 42%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/cpp/map_field.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DLIBPROTOC_EXPORTS -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-sse41.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-sse41.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-sse41.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-sse41.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-requantization/qs8-requantization-fp32-sse41.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-sse41.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-sse41.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-sse41.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-sse41.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-requantization/qs8-requantization-gemmlowp-sse41.c [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-sse41.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-sse41.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-sse41.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-sse41.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-requantization/qs8-requantization-rndna-sse41.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc: In function ‘std::string google::protobuf::compiler::cpp::{anonymous}::ConditionalToCheckBitmasks(const std::vector&, bool, google::protobuf::stringpiece_internal::StringPiece)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc:89:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 89 | for (int i = 0; i < masks.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc: In member function ‘void google::protobuf::compiler::cpp::{anonymous}::ColdChunkSkipper::OnStartChunk(int, int, const std::string&, google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc:466:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 466 | while (limit_chunk_ < chunks_.size() && IsColdChunk(limit_chunk_)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndnu-sse41-sra.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndnu-sse41-sra.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndnu-sse41-sra.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndnu-sse41-sra.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-requantization/qs8-requantization-rndnu-sse41-sra.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc: In member function ‘std::pair google::protobuf::compiler::cpp::MessageGenerator::GenerateOffsets(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc:2329:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2329 | for (int i = 0; i < has_bit_indices_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateClear(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc:3061:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3061 | for (int chunk_index = 0; chunk_index < chunks.size(); chunk_index++) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateSwap(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc:3266:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 3266 | for (int i = 0; i < HasBitsSize(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateClassSpecificMergeImpl(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc:3444:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3444 | for (int chunk_index = 0; chunk_index < chunks.size(); chunk_index++) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateSerializeWithCachedSizesBody(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc:3955:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3955 | i < ordered_fields.size() || j < sorted_extensions.size();) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc:3955:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3955 | i < ordered_fields.size() || j < sorted_extensions.size();) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc:3956:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3956 | if ((j == sorted_extensions.size()) || | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateByteSize(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc:4238:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4238 | for (int chunk_index = 0; chunk_index < chunks.size(); chunk_index++) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/message.cc:4265:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4265 | for (int j = 0; j < chunk.size(); j++) { | ~~^~~~~~~~~~~~~~ [ 42%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndnu-sse41-srl.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-rsum/gen/qs8-rsum-minmax-fp32-sse41-u64-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-rsum/gen/qs8-rsum-minmax-fp32-sse41-u64-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-rsum/gen/qs8-rsum-minmax-fp32-sse41-u64-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-rsum/gen/qs8-rsum-minmax-fp32-sse41-u64-acc2.c [ 43%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-rsum/gen/qs8-rsum-minmax-fp32-sse41-u64-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-rsum/gen/qs8-rsum-minmax-fp32-sse41-u64-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-rsum/gen/qs8-rsum-minmax-fp32-sse41-u64-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-rsum/gen/qs8-rsum-minmax-fp32-sse41-u64-acc4.c [ 43%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-rsum/gen/qs8-rsum-minmax-fp32-sse41-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-rsum/gen/qs8-rsum-minmax-fp32-sse41-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-rsum/gen/qs8-rsum-minmax-fp32-sse41-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-rsum/gen/qs8-rsum-minmax-fp32-sse41-u64.c [ 43%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u8.c [ 43%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u16.c [ 43%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u24.c [ 43%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-u32.c [ 43%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u8.c [ 43%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u16.c [ 43%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u24.c [ 43%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-u32.c [ 43%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u8.c [ 43%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u16.c [ 43%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u24.c [ 43%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-u32.c [ 43%] Building C object 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/padding_optimizer.cc: In member function ‘virtual void google::protobuf::compiler::cpp::PaddingOptimizer::OptimizeLayout(std::vector*, const google::protobuf::compiler::cpp::Options&, google::protobuf::compiler::cpp::MessageSCCAnalyzer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/padding_optimizer.cc:141:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 141 | for (int i = 0; i < fields->size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/padding_optimizer.cc:179:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 179 | for (int i = 0; i < aligned_to_1[f].size(); i += 4) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/padding_optimizer.cc:181:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 181 | for (int j = i; j < aligned_to_1[f].size() && j < i + 4; ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/padding_optimizer.cc:193:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 193 | for (int i = 0; i < aligned_to_4[f].size(); i += 2) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/padding_optimizer.cc:195:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 195 | for (int j = i; j < aligned_to_4[f].size() && j < i + 2; ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/padding_optimizer.cc:198:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 198 | if (i == aligned_to_4[f].size() - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/padding_optimizer.cc:218:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 218 | for (int i = 0; i < aligned_to_8[f].size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-u16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/parse_function_generator.cc: In constructor ‘google::protobuf::compiler::cpp::TailCallTableInfo::TailCallTableInfo(const google::protobuf::Descriptor*, const google::protobuf::compiler::cpp::Options&, const std::vector&, const std::vector&, const std::vector&, google::protobuf::compiler::cpp::MessageSCCAnalyzer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/cpp/parse_function_generator.cc:359:47: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, int>::value_type’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 359 | if (enum_values.back() - enum_values[0] == enum_values.size() - 1 && | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 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CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-u8.c [ 43%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 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CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-u16.c [ 43%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-sse41-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-sse41-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-sse41-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-sse41-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-sse41-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-sse41-u16.c [ 43%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l8c4s4r-minmax-fp32-sse41-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l8c4s4r-minmax-fp32-sse41-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l8c4s4r-minmax-fp32-sse41-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l8c4s4r-minmax-fp32-sse41-mul32.c [ 43%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l8c8s8r-minmax-fp32-sse41-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l8c8s8r-minmax-fp32-sse41-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l8c8s8r-minmax-fp32-sse41-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l8c8s8r-minmax-fp32-sse41-mul16.c [ 43%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l16c4s4r-minmax-fp32-sse41-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l16c4s4r-minmax-fp32-sse41-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l16c4s4r-minmax-fp32-sse41-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l16c4s4r-minmax-fp32-sse41-mul32.c [ 43%] Building C 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l16c8s8r-minmax-fp32-sse41-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l16c8s8r-minmax-fp32-sse41-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l16c8s8r-minmax-fp32-sse41-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l16c8s8r-minmax-fp32-sse41-mul16.c [ 43%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l8c4s4r-minmax-fp32-sse41-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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&& /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 73 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ [ 44%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld64.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc: In function ‘std::string google::protobuf::compiler::csharp::UnderscoresToCamelCase(const std::string&, bool, bool)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc:148:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 148 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc: In function ‘std::string google::protobuf::compiler::csharp::ShoutyToPascalCase(const std::string&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc:201:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 44%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc 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CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-u8.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc: In member function ‘void google::protobuf::compiler::csharp::MessageGenerator::GenerateWriteToBody(google::protobuf::io::Printer*, bool)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc:573:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 573 | for (int i = 0; i < fields_by_number().size(); i++) { | 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc:758:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 758 | for (int i = 0; i < fields_by_number().size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse41-c16.c.o -MF CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse41-c16.c.o.d -o CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse41-c16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/s8-ibilinear/gen/s8-ibilinear-sse41-c16.c [ 45%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse41-c16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse41-c16.c.o -MF CMakeFiles/microkernels-all.dir/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse41-c16.c.o.d -o CMakeFiles/microkernels-all.dir/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse41-c16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse41-c16.c [ 45%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/s8-vclamp/s8-vclamp-sse41-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -msse4.1 -mno-sse4.2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/s8-vclamp/s8-vclamp-sse41-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/s8-vclamp/s8-vclamp-sse41-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/s8-vclamp/s8-vclamp-sse41-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/s8-vclamp/s8-vclamp-sse41-u64.c [ 45%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse41-c8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-u16.c [ 45%] Building C object 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-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/csharp/csharp_repeated_message_field.cc.o -MF CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/csharp/csharp_repeated_message_field.cc.o.d -o CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/csharp/csharp_repeated_message_field.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/csharp/csharp_repeated_message_field.cc [ 45%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 135 | for (int j = i + 1; j < fields.size(); ++j) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/context.cc:154:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (int i = 0; i < fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~ [ 45%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-6f6m7l16c8s4r-minmax-avx-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l8c8s4r-minmax-avx-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l8c8s4r-minmax-avx-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l8c8s4r-minmax-avx-acc2.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l16c8s4r-minmax-avx.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l16c8s4r-minmax-avx.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-8f8m9l16c8s4r-minmax-avx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-8f8m9l16c8s4r-minmax-avx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/enum.cc: In member function ‘void google::protobuf::compiler::java::EnumGenerator::Generate(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/enum.cc:93:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 93 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/enum.cc:101:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 101 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/enum.cc:133:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 133 | for (int i = 0; i < aliases_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/enum.cc:207:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/enum.cc: In member function ‘bool google::protobuf::compiler::java::EnumGenerator::CanUseEnumValues()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/enum.cc:381:32: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 381 | if (canonical_values_.size() != descriptor_->value_count()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx.c [ 45%] Building C object 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-DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-avx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-avx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-avx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-4x8-minmax-avx-broadcast.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/enum_lite.cc: In member function ‘void google::protobuf::compiler::java::EnumLiteGenerator::Generate(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/enum_lite.cc:89:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 89 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/enum_lite.cc:112:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 112 | for (int i = 0; i < aliases_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/enum_lite.cc:173:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 173 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/file.cc.o -MF CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/file.cc.o.d -o CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/file.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/file.cc [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x8-minmax-avx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x8-minmax-avx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x8-minmax-avx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x8-minmax-avx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-6x8-minmax-avx-broadcast.c [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x16-minmax-avx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x16-minmax-avx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x16-minmax-avx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x16-minmax-avx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-6x16-minmax-avx-broadcast.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/file.cc: In function ‘bool google::protobuf::compiler::java::{anonymous}::CollectExtensions(const google::protobuf::Message&, FieldDescriptorSet*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/file.cc:96:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 96 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/file.cc:41: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/printer.h:87:8: required from here 87 | void AddAnnotation(size_t begin_offset, size_t end_offset, | ^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/printer.h:92:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 92 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-7x8-minmax-avx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-7x8-minmax-avx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-7x8-minmax-avx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-7x8-minmax-avx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-7x8-minmax-avx-broadcast.c [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-avx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-avx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-avx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-avx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-1x8-minmax-avx-broadcast.c [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x16-minmax-avx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x16-minmax-avx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x16-minmax-avx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x16-minmax-avx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-3x16-minmax-avx-broadcast.c [ 47%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/generator.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DLIBPROTOC_EXPORTS -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/generator.cc.o -MF CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/generator.cc.o.d -o CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/generator.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/generator.cc [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-avx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-avx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-avx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-avx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-4x8-minmax-avx-broadcast.c [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx-broadcast.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/generator.cc: In member function ‘virtual bool google::protobuf::compiler::java::JavaGenerator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/generator.cc:77:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 77 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/generator.cc:130:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 130 | for (int i = 0; i < file_generators.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/generator.cc:132:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 132 | for (int j = 0; j < file_generators.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/generator.cc:139:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 139 | for (int i = 0; i < file_generators.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/generator.cc:177:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | for (int i = 0; i < file_generators.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/generator.cc:189:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 189 | for (int i = 0; i < all_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/generator.cc:200:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 200 | for (int i = 0; i < all_annotations.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/generator.cc:40: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/printer.h:87:8: required from here 87 | void AddAnnotation(size_t begin_offset, size_t end_offset, | ^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/printer.h:92:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 92 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-avx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/helpers.cc: In function ‘bool google::protobuf::compiler::java::{anonymous}::IsForbidden(const std::string&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/helpers.cc:109:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 109 | for (int i = 0; i < GOOGLE_ARRAYSIZE(kForbiddenWordList); ++i) { /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/helpers.cc: In function ‘std::string google::protobuf::compiler::java::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/helpers.cc:178:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 178 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/helpers.cc: In function ‘bool google::protobuf::compiler::java::AllAscii(const std::string&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/helpers.cc:576:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 576 | for (int i = 0; i < text.size(); i++) { | ~~^~~~~~~~~~~~~ [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx-2x16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc 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-c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16-minmax-avx-broadcast.c [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x16-minmax-avx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x16-minmax-avx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x16-minmax-avx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x16-minmax-avx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x16-minmax-avx-broadcast.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/message.cc: In member function ‘void google::protobuf::compiler::java::ImmutableMessageGenerator::GenerateMessageSerializationMethods(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/message.cc:626:44: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 626 | i < descriptor_->field_count() || j < sorted_extensions.size();) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/message.cc:629:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 629 | } else if (j == sorted_extensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/message.cc: In member function ‘void google::protobuf::compiler::java::ImmutableMessageGenerator::GenerateDescriptorMethods(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/message.cc:843:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 843 | for (int i = 0; i < map_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x16-minmax-avx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x16-minmax-avx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x16-minmax-avx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x16-minmax-avx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x16-minmax-avx-broadcast.c [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u8.c [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u16.c [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u24.c [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-u32.c [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u8.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u16.c [ 47%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/message_builder.cc.o cd 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_deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/message_builder.cc.o -MF CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/message_builder.cc.o.d -o CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/message_builder.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/message_builder.cc [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u24.c [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-u32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/message_builder.cc: In member function ‘void google::protobuf::compiler::java::MessageBuilderGenerator::GenerateDescriptorMethods(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/message_builder.cc:231:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 231 | for (int i = 0; i < map_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/message_builder.cc:256:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 256 | for (int i = 0; i < map_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c16.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/immintrin.h:43, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c16.c:12: In function ‘_mm256_maskload_ps’, inlined from ‘xnn_f32_rdsum_ukernel_7p7x__avx_c16’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c16.c:200:28: /usr/lib/gcc/x86_64-redhat-linux/14/include/avxintrin.h:980:19: warning: ‘vmask’ may be used uninitialized [-Wmaybe-uninitialized] 980 | return (__m256) __builtin_ia32_maskloadps256 ((const __v8sf *)__P, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 981 | (__v8si)__M); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c16.c: In function ‘xnn_f32_rdsum_ukernel_7p7x__avx_c16’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c16.c:118:11: note: ‘vmask’ was declared here 118 | __m256i vmask; | ^~~~~ [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c32.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/immintrin.h:43, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c32.c:12: In function ‘_mm256_maskload_ps’, inlined from ‘xnn_f32_rdsum_ukernel_7p7x__avx_c32’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c32.c:242:28: /usr/lib/gcc/x86_64-redhat-linux/14/include/avxintrin.h:980:19: warning: ‘vmask’ may be used uninitialized [-Wmaybe-uninitialized] 980 | return (__m256) __builtin_ia32_maskloadps256 ((const __v8sf *)__P, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 981 | (__v8si)__M); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c32.c: In function ‘xnn_f32_rdsum_ukernel_7p7x__avx_c32’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c32.c:158:11: note: ‘vmask’ was declared here 158 | __m256i vmask; | ^~~~~ [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c64.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/immintrin.h:43, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c64.c:12: In function ‘_mm256_maskload_ps’, inlined from ‘xnn_f32_rdsum_ukernel_7p7x__avx_c64’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c64.c:326:28: /usr/lib/gcc/x86_64-redhat-linux/14/include/avxintrin.h:980:19: warning: ‘vmask’ may be used uninitialized [-Wmaybe-uninitialized] 980 | return (__m256) __builtin_ia32_maskloadps256 ((const __v8sf *)__P, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 981 | (__v8si)__M); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c64.c: In function ‘xnn_f32_rdsum_ukernel_7p7x__avx_c64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx-c64.c:238:11: note: ‘vmask’ was declared here 238 | __m256i vmask; | ^~~~~ [ 47%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmax-avx-u8.c [ 47%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/message_builder_lite.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DLIBPROTOC_EXPORTS -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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-DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsqrdiff-avx-u8.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/shared_code_generator.cc: In member function ‘void google::protobuf::compiler::java::SharedCodeGenerator::GenerateDescriptors(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/shared_code_generator.cc:146:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 146 | for (int i = 0; i < file_data.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/shared_code_generator.cc:186:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 186 | for (int i = 0; i < dependencies.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/shared_code_generator.cc:38: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/printer.h:87:8: required from here 87 | void AddAnnotation(size_t begin_offset, size_t end_offset, | ^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/io/printer.h:92:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 92 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 48%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 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CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsqrdiffc-avx-u8.c [ 48%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/string_field.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DLIBPROTOC_EXPORTS -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/string_field.cc.o -MF CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/string_field.cc.o.d -o CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/string_field.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/string_field.cc [ 48%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsqrdiffc-avx-u16.c [ 48%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsub-minmax-avx-u8.c [ 48%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsub-minmax-avx-u16.c [ 48%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsubc-minmax-avx-u8.c [ 48%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsubc-minmax-avx-u16.c [ 48%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/string_field_lite.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DLIBPROTOC_EXPORTS -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/string_field_lite.cc.o -MF CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/string_field_lite.cc.o.d -o CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/java/string_field_lite.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/java/string_field_lite.cc [ 48%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-u32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc: In member function ‘void google::protobuf::compiler::objectivec::EnumGenerator::GenerateHeader(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:126:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 126 | for (int i = 0; i < all_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc: In member function ‘void google::protobuf::compiler::objectivec::EnumGenerator::GenerateSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:176:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 176 | for (int i = 0; i < all_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:195:21: warning: comparison of integer expressions of different signedness: ‘int’ and 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx-rr2-p6-u24.c [ 49%] Building CXX object 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_deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/objectivec/objectivec_generator.cc.o -MF CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/objectivec/objectivec_generator.cc.o.d -o CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/objectivec/objectivec_generator.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_generator.cc [ 49%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vrnd/gen/f32-vrndne-avx-u8.c [ 49%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vrnd/gen/f32-vrndne-avx-u16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_generator.cc: In member function ‘virtual bool google::protobuf::compiler::objectivec::ObjectiveCGenerator::GenerateAll(const std::vector&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_generator.cc:102:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_generator.cc:273:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 273 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 49%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vrnd/gen/f32-vrndu-avx-u8.c [ 49%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vrnd/gen/f32-vrndu-avx-u16.c [ 49%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DLIBPROTOC_EXPORTS -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc.o -MF CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc.o.d -o CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc [ 49%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vrnd/gen/f32-vrndz-avx-u8.c [ 49%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vrnd/gen/f32-vrndz-avx-u16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::unordered_set > google::protobuf::compiler::objectivec::{anonymous}::MakeWordsMap(const char* const*, size_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:280:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 280 | for (int i = 0; i < num_words; i++) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::{anonymous}::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:306:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 306 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:348:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 348 | for (int j = 0; j < value.length(); j++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::UnCamelCaseEnumShortName(const std::string&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:761:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 761 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::UnCamelCaseFieldName(const std::string&, const google::protobuf::FieldDescriptor*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:851:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 851 | for (int i = 0; i < worker.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::BuildCommentsString(const google::protobuf::SourceLocation&, bool)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1209:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1209 | for (int i = 0; i < lines.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘bool google::protobuf::compiler::objectivec::ReadLine(google::protobuf::stringpiece_internal::StringPiece*, google::protobuf::stringpiece_internal::StringPiece*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1263:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1263 | for (int len = 0; len < input->size(); ++len) { | ~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘void google::protobuf::compiler::objectivec::RemoveComment(google::protobuf::stringpiece_internal::StringPiece*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1276:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1276 | if (offset != StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In member function ‘virtual bool google::protobuf::compiler::objectivec::{anonymous}::PackageToPrefixesCollector::ConsumeLine(const google::protobuf::stringpiece_internal::StringPiece&, std::string*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1286:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1286 | if (offset == StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘bool google::protobuf::compiler::objectivec::ValidateObjCClassPrefixes(const std::vector&, const Options&, std::string*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1481:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1481 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In static member function ‘static std::string google::protobuf::compiler::objectivec::TextFormatDecodeData::DecodeDataForString(const std::string&, const std::string&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1689:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1689 | for (int y = 0; y < desired_output.size(); y++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1696:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1696 | if (x >= input_for_decode.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1708:9: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1708 | if (x != input_for_decode.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In member function ‘virtual bool google::protobuf::compiler::objectivec::ImportWriter::ProtoFrameworkCollector::ConsumeLine(const google::protobuf::stringpiece_internal::StringPiece&, std::string*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1994:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1994 | if (offset == StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:2005:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2005 | while (start < proto_file_list.length()) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:2007:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::stringpiece_internal::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 2007 | if (offset == StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ [ 49%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrsqrt/gen/f32-vrsqrt-avx-rsqrt-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrsqrt/gen/f32-vrsqrt-avx-rsqrt-u8.c.o -MF 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-DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_message.cc: In member function ‘void google::protobuf::compiler::objectivec::MessageGenerator::GenerateSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_message.cc:557:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 557 | for (int i = 0; i < text_format_data_str.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/objectivec/objectivec_message.cc:571:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} 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49%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-u24.c [ 49%] Building C object 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CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-u16.c [ 49%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/php/php_generator.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DLIBPROTOC_EXPORTS -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/php/php_generator.cc.o -MF CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/php/php_generator.cc.o.d -o CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/php/php_generator.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc [ 49%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-u32.c [ 49%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u8.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::{anonymous}::PhpName(const std::string&, const google::protobuf::compiler::php::Options&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:292:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 292 | for (int i = 0; i < full_name.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::{anonymous}::GeneratedMetadataFileName(const google::protobuf::FileDescriptor*, const google::protobuf::compiler::php::Options&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:369:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 369 | while (first_index != std::string::npos) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:380:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 380 | if (file_name_start == std::string::npos) { | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::{anonymous}::GeneratedServiceFileName(const google::protobuf::ServiceDescriptor*, const google::protobuf::compiler::php::Options&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:441:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 441 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::{anonymous}::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:587:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 587 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::{anonymous}::FilenameToClassname(const std::string&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1240:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1240 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::{anonymous}::GenerateMetadataFile(const google::protobuf::FileDescriptor*, const google::protobuf::compiler::php::Options&, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1260:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1260 | if (lastindex != std::string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::{anonymous}::GenerateEnumFile(const google::protobuf::FileDescriptor*, const google::protobuf::EnumDescriptor*, const google::protobuf::compiler::php::Options&, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1372:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1372 | if (lastindex != std::string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1384:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1384 | if (lastindex != std::string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::{anonymous}::GenerateMessageFile(const google::protobuf::FileDescriptor*, const google::protobuf::Descriptor*, const google::protobuf::compiler::php::Options&, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1514:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1514 | if (lastindex != std::string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1523:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1523 | if (lastindex != std::string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::{anonymous}::GenerateServiceFile(const google::protobuf::FileDescriptor*, const google::protobuf::ServiceDescriptor*, const google::protobuf::compiler::php::Options&, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1647:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1647 | lastindex != std::string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1655:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1655 | if (lastindex != std::string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::{anonymous}::GenerateDocCommentBodyForLocation(google::protobuf::io::Printer*, const google::protobuf::SourceLocation&, bool, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1759:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1759 | for (int i = 0; i < lines.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::{anonymous}::GeneratedClassFileName(const DescriptorType*, const google::protobuf::compiler::php::Options&) [with DescriptorType = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1362:48: required from here 1362 | std::string filename = GeneratedClassFileName(en, options); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:402:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘void google::protobuf::compiler::php::{anonymous}::LegacyReadOnlyGenerateClassFile(const google::protobuf::FileDescriptor*, const DescriptorType*, const google::protobuf::compiler::php::Options&, google::protobuf::compiler::GeneratorContext*) [with DescriptorType = google::protobuf::EnumDescriptor]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1491:36: required from here 1491 | LegacyReadOnlyGenerateClassFile(file, en, options, generator_context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1329:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1329 | if (lastindex != std::string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::{anonymous}::GeneratedClassFileName(const DescriptorType*, const google::protobuf::compiler::php::Options&) [with DescriptorType = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1504:48: required from here 1504 | std::string filename = GeneratedClassFileName(message, options); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:402:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘void google::protobuf::compiler::php::{anonymous}::LegacyReadOnlyGenerateClassFile(const google::protobuf::FileDescriptor*, const DescriptorType*, const google::protobuf::compiler::php::Options&, google::protobuf::compiler::GeneratorContext*) [with DescriptorType = google::protobuf::Descriptor]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1619:36: required from here 1619 | LegacyReadOnlyGenerateClassFile(file, message, options, generator_context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1329:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1329 | if (lastindex != std::string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::{anonymous}::LegacyGeneratedClassFileName(const DescriptorType*, const google::protobuf::compiler::php::Options&) [with DescriptorType = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1287:54: required from ‘void google::protobuf::compiler::php::{anonymous}::LegacyGenerateClassFile(const google::protobuf::FileDescriptor*, const DescriptorType*, const google::protobuf::compiler::php::Options&, google::protobuf::compiler::GeneratorContext*) [with DescriptorType = google::protobuf::EnumDescriptor]’ 1287 | std::string filename = LegacyGeneratedClassFileName(desc, options); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1478:28: required from here 1478 | LegacyGenerateClassFile(file, en, options, generator_context); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:415:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 415 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::{anonymous}::LegacyReadOnlyGeneratedClassFileName(std::string, const DescriptorType*) [with DescriptorType = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1337:62: required from ‘void google::protobuf::compiler::php::{anonymous}::LegacyReadOnlyGenerateClassFile(const google::protobuf::FileDescriptor*, const DescriptorType*, const google::protobuf::compiler::php::Options&, google::protobuf::compiler::GeneratorContext*) [with DescriptorType = google::protobuf::EnumDescriptor]’ 1337 | std::string filename = LegacyReadOnlyGeneratedClassFileName(php_namespace, desc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1491:36: required from here 1491 | LegacyReadOnlyGenerateClassFile(file, en, options, generator_context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:427:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | for (int i = 0; i < php_namespace.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::{anonymous}::LegacyGeneratedClassFileName(const DescriptorType*, const google::protobuf::compiler::php::Options&) [with DescriptorType = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1287:54: required from ‘void google::protobuf::compiler::php::{anonymous}::LegacyGenerateClassFile(const google::protobuf::FileDescriptor*, const DescriptorType*, const google::protobuf::compiler::php::Options&, google::protobuf::compiler::GeneratorContext*) [with DescriptorType = google::protobuf::Descriptor]’ 1287 | std::string filename = LegacyGeneratedClassFileName(desc, options); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1606:28: required from here 1606 | LegacyGenerateClassFile(file, message, options, generator_context); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:415:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 415 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::{anonymous}::LegacyReadOnlyGeneratedClassFileName(std::string, const DescriptorType*) [with DescriptorType = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1337:62: required from ‘void google::protobuf::compiler::php::{anonymous}::LegacyReadOnlyGenerateClassFile(const google::protobuf::FileDescriptor*, const DescriptorType*, const google::protobuf::compiler::php::Options&, google::protobuf::compiler::GeneratorContext*) [with DescriptorType = google::protobuf::Descriptor]’ 1337 | std::string filename = LegacyReadOnlyGeneratedClassFileName(php_namespace, desc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1619:36: required from here 1619 | LegacyReadOnlyGenerateClassFile(file, message, options, generator_context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/php/php_generator.cc:427:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | for (int i = 0; i < php_namespace.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 49%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u16.c [ 49%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u24.c [ 49%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u32.c [ 49%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut4-p4h2ts-perm-div-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut8-p4h3ts-div-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut8-p4h3ts-div-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut8-p4h3ts-div-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut8-p4h3ts-div-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-lut8-p4h3ts-div-u32.c [ 50%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u8.c [ 50%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/python/generator.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DLIBPROTOC_EXPORTS -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/python/generator.cc.o -MF CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/python/generator.cc.o.d -o CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/python/generator.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/python/generator.cc [ 50%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u16.c [ 50%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u24.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/python/generator.cc: In member function ‘virtual bool google::protobuf::compiler::python::Generator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/python/generator.cc:225:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/python/generator.cc: In member function ‘void google::protobuf::compiler::python::Generator::PrintImports() const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/python/generator.cc:344:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 344 | if (last_dot_pos == std::string::npos) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/python/generator.cc: In member function ‘void google::protobuf::compiler::python::Generator::PrintMessages() const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/python/generator.cc:685:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 685 | for (int j = 0; j < to_register.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-div-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr1-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr1-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr1-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr1-u64.c [ 50%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr1-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr1-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr1-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr1-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr1-u72.c [ 50%] Building CXX object _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/ruby/ruby_generator.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/g++ -DGOOGLE_PROTOBUF_CMAKE_BUILD -DLIBPROTOC_EXPORTS -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c++11 -fPIC -MD -MT _deps/protobuf-build/CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/ruby/ruby_generator.cc.o -MF CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/ruby/ruby_generator.cc.o.d -o CMakeFiles/libprotoc.dir/src/google/protobuf/compiler/ruby/ruby_generator.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc [ 50%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr1-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr1-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr1-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr1-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr1-u80.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc: In function ‘std::string google::protobuf::compiler::ruby::DefaultValueForField(const google::protobuf::FieldDescriptor*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc:158:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 158 | for (int i = 0; i < default_str.length(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc: In function ‘std::string google::protobuf::compiler::ruby::PackageToModule(const std::string&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc:329:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 329 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ [ 50%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr2-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr2-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr2-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr2-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr2-u8.c [ 50%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr2-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr2-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr2-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr2-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx-expm1minus-rr1-p6h5ts-nr2-u64.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 50%] Built target libprotoc /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_cpuinfo.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_cpuinfo.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_cpuinfo.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_cpuinfo.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_cpuinfo.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 50%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_cpuinfo.dir/cpuinfo.cc.o cd 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CMakeFiles/ruy_cpuinfo.dir/cpuinfo.cc.o.d -o CMakeFiles/ruy_cpuinfo.dir/cpuinfo.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/cpuinfo.cc [ 50%] Linking CXX static library libruy_cpuinfo.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_cpuinfo.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_cpuinfo.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_cpuinfo.a CMakeFiles/ruy_cpuinfo.dir/cpuinfo.cc.o /usr/bin/ranlib libruy_cpuinfo.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 50%] Built target ruy_cpuinfo /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/subgraph.dir/build.make _deps/xnnpack-build/CMakeFiles/subgraph.dir/depend gmake[2]: Entering directory 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/subgraph.dir/src/subgraph.c.o -MF CMakeFiles/subgraph.dir/src/subgraph.c.o.d -o CMakeFiles/subgraph.dir/src/subgraph.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/subgraph.c [ 50%] Building C object 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_deps/xnnpack-build/CMakeFiles/subgraph.dir/src/subgraph/abs.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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50%] Building C object _deps/xnnpack-build/CMakeFiles/subgraph.dir/src/subgraph/average-pooling-2d.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include 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CMakeFiles/subgraph.dir/src/subgraph/batch-matrix-multiply.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/subgraph/batch-matrix-multiply.c [ 50%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx-rational-9-6-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 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51%] Building C object _deps/xnnpack-build/CMakeFiles/subgraph.dir/src/subgraph/elu.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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51%] Building C object _deps/xnnpack-build/CMakeFiles/subgraph.dir/src/subgraph/fully-connected-sparse.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vunary/gen/f32-vneg-avx-u8.c [ 51%] Building C object _deps/xnnpack-build/CMakeFiles/subgraph.dir/src/subgraph/negate.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vunary/gen/f32-vneg-avx-u16.c [ 51%] Building C object _deps/xnnpack-build/CMakeFiles/subgraph.dir/src/subgraph/scaled-dot-product-attention.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 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_deps/xnnpack-build/CMakeFiles/subgraph.dir/src/subgraph/squared-difference.c.o -MF CMakeFiles/subgraph.dir/src/subgraph/squared-difference.c.o.d -o CMakeFiles/subgraph.dir/src/subgraph/squared-difference.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/subgraph/squared-difference.c [ 51%] Building C object _deps/xnnpack-build/CMakeFiles/subgraph.dir/src/subgraph/static-constant-pad.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 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_deps/xnnpack-build/CMakeFiles/subgraph.dir/src/subgraph/static-transpose.c.o -MF CMakeFiles/subgraph.dir/src/subgraph/static-transpose.c.o.d -o CMakeFiles/subgraph.dir/src/subgraph/static-transpose.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/subgraph/static-transpose.c [ 51%] Building C object _deps/xnnpack-build/CMakeFiles/subgraph.dir/src/subgraph/subtract.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-expm1minus-avx-rr2-lut4-p4-perm.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-expm1minus-avx-rr2-lut4-p4-perm.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-expm1minus-avx-rr2-lut4-p4-perm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-expm1minus-avx-rr2-lut4-p4-perm.c [ 51%] Building C object _deps/xnnpack-build/CMakeFiles/subgraph.dir/src/subgraph/unpooling-2d.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -Os -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/subgraph.dir/src/tensor.c.o -MF CMakeFiles/subgraph.dir/src/tensor.c.o.d -o CMakeFiles/subgraph.dir/src/tensor.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tensor.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 51%] Built target subgraph /usr/bin/gmake -f _deps/protobuf-build/CMakeFiles/protoc.dir/build.make _deps/protobuf-build/CMakeFiles/protoc.dir/depend gmake[2]: Entering directory 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx-expm1minus-rr1-lut8-p4h3ps-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx-expm1minus-rr1-lut8-p4h3ps-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx-expm1minus-rr1-lut8-p4h3ps-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx-expm1minus-rr1-lut8-p4h3ps-div.c [ 51%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx-expm1minus-rr1-p6h5ts-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx-expm1minus-rr1-p6h5ts-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx-expm1minus-rr1-p6h5ts-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx-expm1minus-rr1-p6h5ts-div.c [ 51%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx-expm1minus-rr1-p6h5ts-nr1.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx-expm1minus-rr1-p6h5ts-nr1.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx-expm1minus-rr1-p6h5ts-nr1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx-expm1minus-rr1-p6h5ts-nr1.c [ 51%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx-expm1minus-rr2-lut8-p4h3ts-nr2.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx-expm1minus-rr2-lut8-p4h3ts-nr2.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx-expm1minus-rr2-lut8-p4h3ts-nr2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx-expm1minus-rr2-lut8-p4h3ts-nr2.c [ 52%] Building C object 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Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld64.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld64.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__avx_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld64.c:66:89: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m128i vinput_zero_point2 = _mm_castps_si128(_mm_broadcast_ss((const float*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld64.c:34:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 34 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld64.c:243:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 243 | const __m128 vinput_scale2 = _mm_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld64.c:34:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 34 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld128.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld128.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x4c8__avx_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld128.c:66:89: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m128i vinput_zero_point2 = _mm_castps_si128(_mm_broadcast_ss((const float*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld128.c:34:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 34 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld128.c:227:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 227 | const __m128 vinput_scale2 = _mm_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x4c8-minmax-avx-ld128.c:34:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 34 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld64.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld64.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__avx_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld64.c:72:89: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m128i vinput_zero_point2 = _mm_castps_si128(_mm_broadcast_ss((const float*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld64.c:34:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 34 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld64.c:73:89: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m128i vinput_zero_point3 = _mm_castps_si128(_mm_broadcast_ss((const float*) &quantization_params[3].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld64.c:34:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 34 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld64.c:281:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 281 | const __m128 vinput_scale2 = _mm_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld64.c:34:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 34 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld64.c:282:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 282 | const __m128 vinput_scale3 = _mm_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld64.c:34:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 34 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld128.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld128.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x4c8__avx_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld128.c:72:89: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m128i vinput_zero_point2 = _mm_castps_si128(_mm_broadcast_ss((const float*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld128.c:34:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 34 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld128.c:73:89: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m128i vinput_zero_point3 = _mm_castps_si128(_mm_broadcast_ss((const float*) &quantization_params[3].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld128.c:34:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 34 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld128.c:265:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 265 | const __m128 vinput_scale2 = _mm_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld128.c:34:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 34 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld128.c:266:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 266 | const __m128 vinput_scale3 = _mm_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x4c8-minmax-avx-ld128.c:34:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 34 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-avx-ld64.c [ 52%] 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x4c8-minmax-avx-ld128.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld64.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld64.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__avx_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld64.c:64:89: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 64 | const __m128i vinput_zero_point2 = _mm_castps_si128(_mm_broadcast_ss((const float*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld64.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld64.c:147:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 147 | const __m128 vinput_scale2 = _mm_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld64.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld128.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld128.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x4c8__avx_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld128.c:64:89: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 64 | const __m128i vinput_zero_point2 = _mm_castps_si128(_mm_broadcast_ss((const float*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld128.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld128.c:143:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 143 | const __m128 vinput_scale2 = _mm_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x4c8-minmax-avx-ld128.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld64.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld64.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__avx_ld64’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld64.c:70:89: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 70 | const __m128i vinput_zero_point2 = _mm_castps_si128(_mm_broadcast_ss((const float*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld64.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld64.c:71:89: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m128i vinput_zero_point3 = _mm_castps_si128(_mm_broadcast_ss((const float*) &quantization_params[3].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld64.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld64.c:170:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 170 | const __m128 vinput_scale2 = _mm_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld64.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld64.c:171:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 171 | const __m128 vinput_scale3 = _mm_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld64.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld128.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld128.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x4c8__avx_ld128’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld128.c:70:89: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 70 | const __m128i vinput_zero_point2 = _mm_castps_si128(_mm_broadcast_ss((const float*) &quantization_params[2].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld128.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld128.c:71:89: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m128i vinput_zero_point3 = _mm_castps_si128(_mm_broadcast_ss((const float*) &quantization_params[3].zero_point)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld128.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld128.c:166:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 166 | const __m128 vinput_scale2 = _mm_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld128.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld128.c:167:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 167 | const __m128 vinput_scale3 = _mm_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x4c8-minmax-avx-ld128.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x4c8-minmax-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x4c8-minmax-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x4c8-minmax-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x4c8-minmax-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x4c8-minmax-avx-ld64.c [ 52%] 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52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x4c8-minmax-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x4c8-minmax-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x4c8-minmax-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x4c8-minmax-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x4c8-minmax-avx-ld64.c [ 52%] 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x4c8-minmax-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x4c8-minmax-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x4c8-minmax-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x4c8-minmax-avx-ld128.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-avx-ld64.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x4c8-minmax-avx-ld128.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-avx-ld64.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x4c8-minmax-avx-ld128.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c4s4r-minmax-fp32-avx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c4s4r-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c4s4r-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c4s4r-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l8c4s4r-minmax-fp32-avx-mul32.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c4s4r-minmax-fp32-avx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c4s4r-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c4s4r-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c4s4r-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c4s4r-minmax-fp32-avx-mul32.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c4s4r-minmax-fp32-avx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c4s4r-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c4s4r-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c4s4r-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l8c4s4r-minmax-fp32-avx-mul32.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c4s4r-minmax-fp32-avx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c4s4r-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c4s4r-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c4s4r-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c4s4r-minmax-fp32-avx-mul32.c [ 52%] 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c4s4r-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c4s4r-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c4s4r-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c4s4r-minmax-fp32-avx-mul32.c [ 52%] Building C 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c4s4r-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c4s4r-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c4s4r-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c4s4r-minmax-fp32-avx-mul32.c [ 52%] 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c [ 52%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16.c [ 52%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul32.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16.c [ 52%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul32.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16.c [ 52%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul32.c [ 52%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c [ 52%] Building C 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16.c [ 52%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-u8.c [ 52%] Building C object 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CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l8c4s4r-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l8c4s4r-minmax-fp32-avx-mul32.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l16c4s4r-minmax-fp32-avx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p8c-minmax-fp32-avx-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p8c-minmax-fp32-avx-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p8c-minmax-fp32-avx-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p8c-minmax-fp32-avx-mul16.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p8c-minmax-fp32-avx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p8c-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p8c-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p8c-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p8c-minmax-fp32-avx-mul32.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx-mul32.c [ 52%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul16.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p8c-minmax-fp32-avx-mul32.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul16.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx-mul32.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-avx-ld64.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2-minmax-fp32-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2s4-minmax-fp32-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2s4-minmax-fp32-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2s4-minmax-fp32-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c2s4-minmax-fp32-avx-ld128.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-avx-ld64.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x4c8-minmax-fp32-avx-ld128.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-avx-ld64.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2-minmax-fp32-avx-ld128.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-avx-ld64.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c2s4-minmax-fp32-avx-ld128.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-avx-ld64.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x4c8-minmax-fp32-avx-ld128.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-avx-ld64.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2-minmax-fp32-avx-ld128.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-avx-ld64.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c2s4-minmax-fp32-avx-ld128.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c8-minmax-fp32-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c8-minmax-fp32-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c8-minmax-fp32-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c8-minmax-fp32-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c8-minmax-fp32-avx-ld64.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c8-minmax-fp32-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c8-minmax-fp32-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c8-minmax-fp32-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c8-minmax-fp32-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x4c8-minmax-fp32-avx-ld128.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2-minmax-fp32-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2-minmax-fp32-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2-minmax-fp32-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2-minmax-fp32-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2-minmax-fp32-avx-ld64.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2-minmax-fp32-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2-minmax-fp32-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2-minmax-fp32-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2-minmax-fp32-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2-minmax-fp32-avx-ld128.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2s4-minmax-fp32-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2s4-minmax-fp32-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2s4-minmax-fp32-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2s4-minmax-fp32-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2s4-minmax-fp32-avx-ld64.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2s4-minmax-fp32-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2s4-minmax-fp32-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2s4-minmax-fp32-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2s4-minmax-fp32-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x4c2s4-minmax-fp32-avx-ld128.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x4c2-minmax-fp32-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u16.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u24.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-u32.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u8.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u16.c [ 53%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u24.c [ 53%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-u32.c [ 53%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u8.c [ 54%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u16.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u24.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-u32.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vcvt/gen/qs8-vcvt-avx-u8.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc 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-DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/microkernels-all.dir/src/qs8-vhswish/gen/qs8-vhswish-avx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vhswish/gen/qs8-vhswish-avx-u16.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vhswish/gen/qs8-vhswish-avx-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vhswish/gen/qs8-vhswish-avx-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vhswish/gen/qs8-vhswish-avx-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vhswish/gen/qs8-vhswish-avx-u32.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vlrelu/gen/qs8-vlrelu-avx-u8.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vlrelu/gen/qs8-vlrelu-avx-u16.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vlrelu/gen/qs8-vlrelu-avx-u32.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-u8.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-u8.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-u16.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-u16.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-u8.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-u8.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-u16.c [ 54%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-avx-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-avx-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-avx-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-avx-u4.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-avx-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-avx-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-avx-u8.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-avx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-avx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-avx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-avx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs16-qs8-vcvt/gen/qs16-qs8-vcvt-avx-u16.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l8c4s4r-minmax-fp32-avx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l8c4s4r-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l8c4s4r-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l8c4s4r-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l8c4s4r-minmax-fp32-avx-mul32.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l16c4s4r-minmax-fp32-avx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l16c4s4r-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l16c4s4r-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l16c4s4r-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-5f5m5l16c4s4r-minmax-fp32-avx-mul32.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l8c4s4r-minmax-fp32-avx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l8c4s4r-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l8c4s4r-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l8c4s4r-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l8c4s4r-minmax-fp32-avx-mul32.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l16c4s4r-minmax-fp32-avx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l16c4s4r-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l16c4s4r-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l16c4s4r-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l16c4s4r-minmax-fp32-avx-mul32.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l8c4s4r-minmax-fp32-avx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l8c4s4r-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l8c4s4r-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l8c4s4r-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l8c4s4r-minmax-fp32-avx-mul32.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l16c4s4r-minmax-fp32-avx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l16c4s4r-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l16c4s4r-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l16c4s4r-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l16c4s4r-minmax-fp32-avx-mul32.c [ 54%] 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul16.c [ 54%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul32.c [ 54%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul16.c [ 54%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul32.c [ 54%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul16.c [ 54%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-u24.c [ 54%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld128.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld128.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld128.c [ 54%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld64.c cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/protobuf-build && /usr/bin/cmake -E cmake_symlink_executable protoc-3.21.9.0 protoc gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 54%] Built target protoc /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_tune.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_tune.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_tune.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_tune.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_tune.a CMakeFiles/ruy_tune.dir/tune.cc.o /usr/bin/ranlib libruy_tune.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 54%] Built target ruy_tune /usr/bin/gmake -f _deps/xnnpack-build/CMakeFiles/XNNPACK.dir/build.make _deps/xnnpack-build/CMakeFiles/XNNPACK.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" 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_deps/xnnpack-build/CMakeFiles/XNNPACK.dir/src/configs/avgpool-config.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DCPUINFO_SUPPORTED_PLATFORM=1 -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNNPACK_EXPORTS -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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CMakeFiles/XNNPACK.dir/src/configs/conv-hwc2chw-config.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/configs/conv-hwc2chw-config.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/XNNPACK.dir/src/configs/dwconv-config.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DCPUINFO_SUPPORTED_PLATFORM=1 -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNNPACK_EXPORTS -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -DXNN_LOG_LEVEL=0 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_deps/xnnpack-build/CMakeFiles/XNNPACK.dir/src/configs/unary-elementwise-config.c.o -MF CMakeFiles/XNNPACK.dir/src/configs/unary-elementwise-config.c.o.d -o CMakeFiles/XNNPACK.dir/src/configs/unary-elementwise-config.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/configs/unary-elementwise-config.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/XNNPACK.dir/src/configs/unpool-config.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DCPUINFO_SUPPORTED_PLATFORM=1 -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNNPACK_EXPORTS -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 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_deps/xnnpack-build/CMakeFiles/XNNPACK.dir/src/configs/xx-pad-config.c.o -MF CMakeFiles/XNNPACK.dir/src/configs/xx-pad-config.c.o.d -o CMakeFiles/XNNPACK.dir/src/configs/xx-pad-config.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/configs/xx-pad-config.c [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 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-DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c:2427:33: warning: type of ‘xnn_table_exp2minus_k_over_64’ does not match original declaration [-Wlto-type-mismatch] 2427 | extern XNN_INTERNAL const float xnn_table_exp2minus_k_over_64[64]; | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/exp2minus-k-over-64.c:12:29: note: type ‘const uint32_t’ should match type ‘const float’ 12 | XNN_INTERNAL const uint32_t xnn_table_exp2minus_k_over_64[64] = { | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/exp2minus-k-over-64.c:12:29: note: ‘xnn_table_exp2minus_k_over_64’ was previously declared here /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/amalgam/gen/sse2.c:1887:33: warning: type of ‘xnn_table_exp2minus_k_over_16’ does not match original declaration [-Wlto-type-mismatch] 1887 | extern XNN_INTERNAL const float xnn_table_exp2minus_k_over_16[16]; | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/exp2minus-k-over-16.c:12:29: note: type ‘const uint32_t’ should match type ‘const float’ 12 | XNN_INTERNAL const uint32_t xnn_table_exp2minus_k_over_16[16] = { | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/exp2minus-k-over-16.c:12:29: note: ‘xnn_table_exp2minus_k_over_16’ was previously declared here [ 54%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-u8.c [ 55%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-u16.c [ 55%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-u8.c [ 55%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-u16.c [ 55%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-u8.c [ 55%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-u16.c [ 55%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vcvt/gen/qu8-vcvt-avx-u8.c [ 55%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vhswish/gen/qu8-vhswish-avx-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vhswish/gen/qu8-vhswish-avx-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vhswish/gen/qu8-vhswish-avx-u32.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vlrelu/gen/qu8-vlrelu-avx-u8.c [ 55%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vlrelu/gen/qu8-vlrelu-avx-u16.c [ 55%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-u32.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vlrelu/gen/qu8-vlrelu-avx-u32.c [ 55%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-u8.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-u8.c [ 55%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-u16.c [ 55%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-u8.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-u8.c [ 55%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-u16.c [ 55%] Building C object 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-lut/gen/x8-lut-avx-u48.c [ 55%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-u64.c.o.d -o 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-avx-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-avx-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-avx-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x8s4-gemm-goi-avx-u4.c [ 55%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16-gemm-goi-avx-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16-gemm-goi-avx-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16-gemm-goi-avx-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x16-gemm-goi-avx-u4.c [ 55%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16s4-gemm-goi-avx-u4-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16s4-gemm-goi-avx-u4-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16s4-gemm-goi-avx-u4-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x16s4-gemm-goi-avx-u4-prfm.c [ 55%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16s4-gemm-goi-avx-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16s4-gemm-goi-avx-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16s4-gemm-goi-avx-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x16s4-gemm-goi-avx-u4.c [ 55%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-multi-mov-avx.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-multi-mov-avx.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-multi-mov-avx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-transposec/gen/x32-transposec-8x8-multi-mov-avx.c [ 55%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-multi-switch-avx.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-multi-switch-avx.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-multi-switch-avx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-transposec/gen/x32-transposec-8x8-multi-switch-avx.c [ 55%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-mov-avx.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-mov-avx.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-mov-avx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-transposec/gen/x32-transposec-8x8-reuse-mov-avx.c [ 55%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-multi-avx.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-multi-avx.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-multi-avx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-transposec/gen/x32-transposec-8x8-reuse-multi-avx.c [ 55%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-switch-avx.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-switch-avx.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-switch-avx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-transposec/gen/x32-transposec-8x8-reuse-switch-avx.c [ 55%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-mov-avx.c.o -MF CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-mov-avx.c.o.d -o CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-mov-avx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x64-transposec/gen/x64-transposec-4x4-multi-mov-avx.c [ 55%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-multi-avx.c.o -MF CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-multi-avx.c.o.d -o CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-multi-avx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x64-transposec/gen/x64-transposec-4x4-multi-multi-avx.c [ 55%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-switch-avx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-switch-avx.c.o -MF CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-switch-avx.c.o.d -o CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-switch-avx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x64-transposec/gen/x64-transposec-4x4-multi-switch-avx.c [ 55%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-mov-avx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-mov-avx.c.o -MF CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-mov-avx.c.o.d -o CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-mov-avx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x64-transposec/gen/x64-transposec-4x4-reuse-mov-avx.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-multi-avx.c.o -MF CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-multi-avx.c.o.d -o CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-multi-avx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x64-transposec/gen/x64-transposec-4x4-reuse-multi-avx.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx -mno-avx2 -mno-fma -mno-f16c -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-switch-avx.c.o -MF CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-switch-avx.c.o.d -o CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-switch-avx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x64-transposec/gen/x64-transposec-4x4-reuse-switch-avx.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-avgpool/f16-avgpool-9x-minmax-f16c-c8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-avgpool/f16-avgpool-9x-minmax-f16c-c8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-avgpool/f16-avgpool-9x-minmax-f16c-c8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-avgpool/f16-avgpool-9x-minmax-f16c-c8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-avgpool/f16-avgpool-9x-minmax-f16c-c8.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-u8.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c16.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c32.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c64.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c128.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c128.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-f16c-c128.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u8.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u16-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u16-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u16-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u16-acc2.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u24-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u24-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u24-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u24-acc3.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u32-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u32-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u32-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u32-acc2.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u32-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u32-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u32-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rsum/gen/f16-f32acc-rsum-f16c-u32-acc4.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c8.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c16.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c24.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c24.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c32.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c8.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c16.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c24.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c24.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c32.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-maxpool/f16-maxpool-9p8x-minmax-f16c-c8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-maxpool/f16-maxpool-9p8x-minmax-f16c-c8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-maxpool/f16-maxpool-9p8x-minmax-f16c-c8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-maxpool/f16-maxpool-9p8x-minmax-f16c-c8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-maxpool/f16-maxpool-9p8x-minmax-f16c-c8.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-prelu/gen/f16-prelu-f16c-2x8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-prelu/gen/f16-prelu-f16c-2x8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-prelu/gen/f16-prelu-f16c-2x8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-prelu/gen/f16-prelu-f16c-2x8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-prelu/gen/f16-prelu-f16c-2x8.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 56%] Built target XNNPACK [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-prelu/gen/f16-prelu-f16c-2x16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-prelu/gen/f16-prelu-f16c-2x16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-prelu/gen/f16-prelu-f16c-2x16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-prelu/gen/f16-prelu-f16c-2x16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-prelu/gen/f16-prelu-f16c-2x16.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/f16-rmax-f16c-u32.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/f16-rmax-f16c-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-rminmax/f16-rmax-f16c-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-rminmax/f16-rmax-f16c-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-rminmax/f16-rmax-f16c-u32.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-f16c-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-u16.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-f16c-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-f16c-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-f16c-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmax-f16c-u8.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-f16c-u16.c.o cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-f16c-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-f16c-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-f16c-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmax-f16c-u16.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-f16c-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-f16c-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-f16c-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-f16c-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmaxc-f16c-u8.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-f16c-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-f16c-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmin-f16c-u16.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-f16c-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-f16c-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-f16c-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-f16c-u8.c.o -c 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-f16c-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-f16c-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-f16c-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-f16c-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmul-minmax-f16c-u8.c [ 56%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-f16c-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-f16c-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-f16c-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmul-minmax-f16c-u16.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-u8.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-u16.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-u8.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-u16.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-u8.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-u16.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsqrdiff-f16c-u8.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsqrdiff-f16c-u16.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-u8.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-u16.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-f16c-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-f16c-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-f16c-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-f16c-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsub-minmax-f16c-u8.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-f16c-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-f16c-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-f16c-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-f16c-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsub-minmax-f16c-u16.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-u8.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-u16.c [ 56%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vclamp/gen/f16-vclamp-f16c-u8.c.o cd 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/profiling/proto /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/profiling/proto /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/profiling/proto/CMakeFiles/profiling_info_proto.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f profiling/proto/CMakeFiles/profiling_info_proto.dir/build.make profiling/proto/CMakeFiles/profiling_info_proto.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 57%] Building CXX object profiling/proto/CMakeFiles/profiling_info_proto.dir/profiling_info.pb.cc.o cd 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profiling/proto/CMakeFiles/profiling_info_proto.dir/profiling_info.pb.cc.o -MF CMakeFiles/profiling_info_proto.dir/profiling_info.pb.cc.o.d -o CMakeFiles/profiling_info_proto.dir/profiling_info.pb.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/profiling/proto/profiling_info.pb.cc [ 57%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndz-f16c-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 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CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndz-f16c-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vrnd/gen/f16-vrndz-f16c-u16.c [ 57%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vrsqrt/gen/f16-vrsqrt-f16c-rsqrt-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-rsqrt-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-rsqrt-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-rsqrt-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsqrt/gen/f16-vsqrt-f16c-rsqrt-u8.c [ 57%] Linking CXX shared library libprofiling_info_proto.so cd 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-rsqrt-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-rsqrt-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-rsqrt-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsqrt/gen/f16-vsqrt-f16c-rsqrt-u32.c [ 57%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u8.c [ 57%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u16.c [ 57%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-u32.c [ 57%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u8.c [ 57%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u16.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u24.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u32.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u40.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u48.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u56.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u64.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u72.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-div-u80.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u8.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u16.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u24.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u32.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u40.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u48.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u56.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u64.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u72.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-expm1minus-rr1-p3h2ts-rcp-u80.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u8.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u16.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u24.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u32.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u40.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u48.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u56.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u64.c [ 57%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u72.c [ 57%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-f16c-polynomial-p19h9t2-u80.c [ 57%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vsqr-f16c-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vsqr-f16c-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vsqr-f16c-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vsqr-f16c-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vunary/gen/f16-vsqr-f16c-u8.c [ 57%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vsqr-f16c-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vsqr-f16c-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vsqr-f16c-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vsqr-f16c-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vunary/gen/f16-vsqr-f16c-u16.c [ 57%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mno-avx2 -mno-fma -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f16-tanh-f16c-polynomial-p19h9t2.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f16-tanh-f16c-polynomial-p19h9t2.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f16-tanh-f16c-polynomial-p19h9t2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f16-tanh-f16c-polynomial-p19h9t2.c [ 57%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3.c [ 58%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3-acc2.c [ 58%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3.c [ 58%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3.c [ 58%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3-acc2.c [ 58%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-6f6m7l8c8s4r-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-6f6m7l8c8s4r-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-6f6m7l8c8s4r-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-dwconv/gen/f16-dwconv-6f6m7l8c8s4r-minmax-fma3.c [ 58%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-8f8m9l8c8s4r-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-8f8m9l8c8s4r-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-8f8m9l8c8s4r-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-dwconv/gen/f16-dwconv-8f8m9l8c8s4r-minmax-fma3.c cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/profiling/proto && /usr/bin/cmake -E copy_directory /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/profiling/proto /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/tensorflow/lite/profiling/proto gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 58%] Built target profiling_info_proto [ 58%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-8f8m9l16c8s4r-minmax-fma3-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-8f8m9l32c8s4r-minmax-fma3-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-8f8m9l32c8s4r-minmax-fma3-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-8f8m9l32c8s4r-minmax-fma3-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-dwconv/gen/f16-dwconv-8f8m9l32c8s4r-minmax-fma3-acc2.c [ 58%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-8f8m9l32c8s4r-minmax-fma3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3.c [ 58%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3-acc2.c [ 58%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3.c [ 58%] Building C object 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u16.c /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_arm.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_arm.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_kernel_arm.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_arm.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_arm.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 58%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_arm.dir/kernel_arm32.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_arm.dir/kernel_arm32.cc.o -MF CMakeFiles/ruy_kernel_arm.dir/kernel_arm32.cc.o.d -o CMakeFiles/ruy_kernel_arm.dir/kernel_arm32.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_arm32.cc [ 58%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u24.c [ 58%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_arm.dir/kernel_arm64.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_arm.dir/kernel_arm64.cc.o -MF CMakeFiles/ruy_kernel_arm.dir/kernel_arm64.cc.o.d -o CMakeFiles/ruy_kernel_arm.dir/kernel_arm64.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_arm64.cc [ 58%] Linking CXX static library libruy_kernel_arm.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_kernel_arm.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_kernel_arm.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_kernel_arm.a CMakeFiles/ruy_kernel_arm.dir/kernel_arm32.cc.o CMakeFiles/ruy_kernel_arm.dir/kernel_arm64.cc.o /usr/bin/ranlib libruy_kernel_arm.a [ 58%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u32.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 58%] Built target ruy_kernel_arm /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_pack_arm.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_pack_arm.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_pack_arm.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_pack_arm.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_pack_arm.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 58%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_pack_arm.dir/pack_arm.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_pack_arm.dir/pack_arm.cc.o -MF CMakeFiles/ruy_pack_arm.dir/pack_arm.cc.o.d -o CMakeFiles/ruy_pack_arm.dir/pack_arm.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/pack_arm.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/pack_arm.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/pack_arm.h:492:9: warning: multi-line comment [-Wcomment] 492 | #endif // (RUY_PLATFORM_NEON_64 || RUY_PLATFORM_NEON_32) && \ | ^ [ 58%] Linking CXX static library libruy_pack_arm.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_pack_arm.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_pack_arm.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_pack_arm.a CMakeFiles/ruy_pack_arm.dir/pack_arm.cc.o /usr/bin/ranlib libruy_pack_arm.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 58%] Built target ruy_pack_arm /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx512.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx512.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx512.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx512.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx512.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 58%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx512.dir/kernel_avx512.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -mavx512f -mavx512vl -mavx512cd -mavx512bw -mavx512dq -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx512.dir/kernel_avx512.cc.o -MF CMakeFiles/ruy_kernel_avx512.dir/kernel_avx512.cc.o.d -o CMakeFiles/ruy_kernel_avx512.dir/kernel_avx512.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx512.cc [ 58%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u40.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx512.cc:908: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 908 | #pragma unroll(1) [ 58%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u48.c [ 58%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u56.c [ 58%] Linking CXX static library libruy_kernel_avx512.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_kernel_avx512.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_kernel_avx512.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_kernel_avx512.a CMakeFiles/ruy_kernel_avx512.dir/kernel_avx512.cc.o /usr/bin/ranlib libruy_kernel_avx512.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 58%] Built target ruy_kernel_avx512 /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx512.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx512.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx512.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx512.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx512.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 58%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx512.dir/pack_avx512.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -mavx512f -mavx512vl -mavx512cd -mavx512bw -mavx512dq -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx512.dir/pack_avx512.cc.o -MF CMakeFiles/ruy_pack_avx512.dir/pack_avx512.cc.o.d -o CMakeFiles/ruy_pack_avx512.dir/pack_avx512.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/pack_avx512.cc [ 58%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u64.c [ 58%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u72.c [ 58%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-div-u80.c [ 58%] Linking CXX static library libruy_pack_avx512.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_pack_avx512.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_pack_avx512.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_pack_avx512.a CMakeFiles/ruy_pack_avx512.dir/pack_avx512.cc.o /usr/bin/ranlib libruy_pack_avx512.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 58%] Built target ruy_pack_avx512 /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx2_fma.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx2_fma.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx2_fma.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx2_fma.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx2_fma.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 58%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx2_fma.dir/kernel_avx2_fma.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -mavx2 -mfma -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx2_fma.dir/kernel_avx2_fma.cc.o -MF CMakeFiles/ruy_kernel_avx2_fma.dir/kernel_avx2_fma.cc.o.d -o CMakeFiles/ruy_kernel_avx2_fma.dir/kernel_avx2_fma.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx2_fma.cc [ 58%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u8.c [ 58%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u16.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/immintrin.h:53, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:240, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx2_fma.cc:22: In function ‘_mm256_extracti128_si256(long long __vector(4), int)’, inlined from ‘ruy::(anonymous namespace)::intrin_utils::mm256_extracti128_si256<(ruy::Path)32>(long long __vector(4) const&, int)long long __vector(2)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx2_fma.cc:84:38, inlined from ‘ruy::(anonymous namespace)::intrin_utils::mm256_n_storeu_cvtepi32_epi16<(ruy::Path)32>(short*, int, long long __vector(4))void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:484:22, inlined from ‘ruy::Kernel8bitAvx2SingleColImpl<(ruy::Path)32>(ruy::KernelParams8bit<8, 8> const&)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx2_fma.cc:996:56: /usr/lib/gcc/x86_64-redhat-linux/14/include/avx2intrin.h:1098:10: warning: ‘shuffled_v’ may be used uninitialized [-Wmaybe-uninitialized] 1098 | return (__m128i) __builtin_ia32_extract128i256 ((__v4di)__X, __M); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h: In function ‘ruy::Kernel8bitAvx2SingleColImpl<(ruy::Path)32>(ruy::KernelParams8bit<8, 8> const&)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:441:11: note: ‘shuffled_v’ was declared here 441 | __m256i shuffled_v; | ^~~~~~~~~~ In function ‘_mm256_extracti128_si256(long long __vector(4), int)’, inlined from ‘ruy::(anonymous namespace)::intrin_utils::mm256_extracti128_si256<(ruy::Path)32>(long long __vector(4) const&, int)long long __vector(2)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx2_fma.cc:84:38, inlined from ‘ruy::(anonymous namespace)::intrin_utils::mm256_n_storeu_cvtepi32_epi8<(ruy::Path)32>(unsigned char*, int, long long __vector(4))void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:401:27, inlined from ‘ruy::Kernel8bitAvx2SingleColImpl<(ruy::Path)32>(ruy::KernelParams8bit<8, 8> const&)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx2_fma.cc:987:55: /usr/lib/gcc/x86_64-redhat-linux/14/include/avx2intrin.h:1098:10: warning: ‘shuffled_v’ may be used uninitialized [-Wmaybe-uninitialized] 1098 | return (__m128i) __builtin_ia32_extract128i256 ((__v4di)__X, __M); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h: In function ‘ruy::Kernel8bitAvx2SingleColImpl<(ruy::Path)32>(ruy::KernelParams8bit<8, 8> const&)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:359:11: note: ‘shuffled_v’ was declared here 359 | __m256i shuffled_v; | ^~~~~~~~~~ In function ‘_mm256_extracti128_si256(long long __vector(4), int)’, inlined from ‘ruy::(anonymous namespace)::intrin_utils::mm256_extracti128_si256<(ruy::Path)32>(long long __vector(4) const&, int)long long __vector(2)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx2_fma.cc:84:38, inlined from ‘ruy::(anonymous namespace)::intrin_utils::mm256_n_storeu_cvtepi32_epi8<(ruy::Path)32>(unsigned char*, int, long long __vector(4))void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:401:27, inlined from ‘ruy::(anonymous namespace)::intrin_utils::mm256_n_storeu_cvtepi32_epi8<(ruy::Path)32>(signed char*, int, long long __vector(4))void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:422:51, inlined from ‘ruy::Kernel8bitAvx2SingleColImpl<(ruy::Path)32>(ruy::KernelParams8bit<8, 8> const&)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx2_fma.cc:978:55: /usr/lib/gcc/x86_64-redhat-linux/14/include/avx2intrin.h:1098:10: warning: ‘shuffled_v’ may be used uninitialized [-Wmaybe-uninitialized] 1098 | return (__m128i) __builtin_ia32_extract128i256 ((__v4di)__X, __M); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h: In function ‘ruy::Kernel8bitAvx2SingleColImpl<(ruy::Path)32>(ruy::KernelParams8bit<8, 8> const&)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:359:11: note: ‘shuffled_v’ was declared here 359 | __m256i shuffled_v; | ^~~~~~~~~~ [ 58%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u24.c [ 58%] Linking CXX static library libruy_kernel_avx2_fma.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_kernel_avx2_fma.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_kernel_avx2_fma.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_kernel_avx2_fma.a CMakeFiles/ruy_kernel_avx2_fma.dir/kernel_avx2_fma.cc.o /usr/bin/ranlib libruy_kernel_avx2_fma.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 58%] Built target ruy_kernel_avx2_fma [ 58%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-fma3-expm1minus-rr1-p3h2ts-rcp-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3-acc2.c /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx2_fma.dir/build.make 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_deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx2_fma.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx2_fma.dir/pack_avx2_fma.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -mavx2 -mfma -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx2_fma.dir/pack_avx2_fma.cc.o -MF CMakeFiles/ruy_pack_avx2_fma.dir/pack_avx2_fma.cc.o.d -o CMakeFiles/ruy_pack_avx2_fma.dir/pack_avx2_fma.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/pack_avx2_fma.cc [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3.c [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3-acc2.c [ 59%] Linking CXX static library libruy_pack_avx2_fma.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_pack_avx2_fma.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_pack_avx2_fma.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_pack_avx2_fma.a CMakeFiles/ruy_pack_avx2_fma.dir/pack_avx2_fma.cc.o /usr/bin/ranlib libruy_pack_avx2_fma.a [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Built target ruy_pack_avx2_fma /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx.dir/kernel_avx.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -mavx -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_kernel_avx.dir/kernel_avx.cc.o -MF CMakeFiles/ruy_kernel_avx.dir/kernel_avx.cc.o.d -o CMakeFiles/ruy_kernel_avx.dir/kernel_avx.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx.cc [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c8s4r-minmax-fma3-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c8s4r-minmax-fma3-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c8s4r-minmax-fma3-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c8s4r-minmax-fma3-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c8s4r-minmax-fma3-acc2.c [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c8s4r-minmax-fma3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c8s4r-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c8s4r-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c8s4r-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c8s4r-minmax-fma3.c [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c8s4r-minmax-fma3-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c8s4r-minmax-fma3-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c8s4r-minmax-fma3-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c8s4r-minmax-fma3-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c8s4r-minmax-fma3-acc2.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/immintrin.h:43, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:240, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx.cc:22: In function ‘_mm256_extractf128_si256(long long __vector(4), int)’, inlined from ‘ruy::(anonymous namespace)::intrin_utils::mm256_extracti128_si256<(ruy::Path)16>(long long __vector(4) const&, int)long long __vector(2)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx.cc:80:38, inlined from ‘ruy::(anonymous namespace)::intrin_utils::mm256_n_storeu_cvtepi32_epi16<(ruy::Path)16>(short*, int, long long __vector(4))void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:483:22, inlined from ‘ruy::Kernel8bitAvxSingleColImpl<(ruy::Path)16>(ruy::KernelParams8bit<8, 8> const&)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx.cc:1440:56: /usr/lib/gcc/x86_64-redhat-linux/14/include/avxintrin.h:532:54: warning: ‘shuffled_v’ may be used uninitialized [-Wmaybe-uninitialized] 532 | return (__m128i) __builtin_ia32_vextractf128_si256 ((__v8si)__X, __N); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h: In function ‘ruy::Kernel8bitAvxSingleColImpl<(ruy::Path)16>(ruy::KernelParams8bit<8, 8> const&)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:441:11: note: ‘shuffled_v’ was declared here 441 | __m256i shuffled_v; | ^~~~~~~~~~ In function ‘_mm256_extractf128_si256(long long __vector(4), int)’, inlined from ‘ruy::(anonymous namespace)::intrin_utils::mm256_extracti128_si256<(ruy::Path)16>(long long __vector(4) const&, int)long long __vector(2)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx.cc:80:38, inlined from ‘ruy::(anonymous namespace)::intrin_utils::mm256_n_storeu_cvtepi32_epi8<(ruy::Path)16>(unsigned char*, int, long long __vector(4))void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:400:27, inlined from ‘ruy::Kernel8bitAvxSingleColImpl<(ruy::Path)16>(ruy::KernelParams8bit<8, 8> const&)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx.cc:1431:55: /usr/lib/gcc/x86_64-redhat-linux/14/include/avxintrin.h:532:54: warning: ‘shuffled_v’ may be used uninitialized [-Wmaybe-uninitialized] 532 | return (__m128i) __builtin_ia32_vextractf128_si256 ((__v8si)__X, __N); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h: In function ‘ruy::Kernel8bitAvxSingleColImpl<(ruy::Path)16>(ruy::KernelParams8bit<8, 8> const&)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:359:11: note: ‘shuffled_v’ was declared here 359 | __m256i shuffled_v; | ^~~~~~~~~~ In function ‘_mm256_extractf128_si256(long long __vector(4), int)’, inlined from ‘ruy::(anonymous namespace)::intrin_utils::mm256_extracti128_si256<(ruy::Path)16>(long long __vector(4) const&, int)long long __vector(2)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx.cc:80:38, inlined from ‘ruy::(anonymous namespace)::intrin_utils::mm256_n_storeu_cvtepi32_epi8<(ruy::Path)16>(unsigned char*, int, long long __vector(4))void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:400:27, inlined from ‘ruy::(anonymous namespace)::intrin_utils::mm256_n_storeu_cvtepi32_epi8<(ruy::Path)16>(signed char*, int, long long __vector(4))void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:422:51, inlined from ‘ruy::Kernel8bitAvxSingleColImpl<(ruy::Path)16>(ruy::KernelParams8bit<8, 8> const&)void’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_avx.cc:1422:55: /usr/lib/gcc/x86_64-redhat-linux/14/include/avxintrin.h:532:54: warning: ‘shuffled_v’ may be used uninitialized [-Wmaybe-uninitialized] 532 | return (__m128i) __builtin_ia32_vextractf128_si256 ((__v8si)__X, __N); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h: In function ‘ruy::Kernel8bitAvxSingleColImpl<(ruy::Path)16>(ruy::KernelParams8bit<8, 8> const&)void’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/kernel_x86.h:359:11: note: ‘shuffled_v’ was declared here 359 | __m256i shuffled_v; | ^~~~~~~~~~ [ 59%] Linking CXX static library libruy_kernel_avx.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_kernel_avx.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_kernel_avx.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_kernel_avx.a CMakeFiles/ruy_kernel_avx.dir/kernel_avx.cc.o /usr/bin/ranlib libruy_kernel_avx.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Built target ruy_kernel_avx /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx.dir/DependInfo.cmake "--color=" [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c8s4r-minmax-fma3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c8s4r-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c8s4r-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c8s4r-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c8s4r-minmax-fma3.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_pack_avx.dir/pack_avx.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l32c8s4r-minmax-fma3-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l32c8s4r-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l32c8s4r-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l32c8s4r-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-5f5m5l32c8s4r-minmax-fma3.c [ 59%] Linking CXX static library libruy_pack_avx.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_pack_avx.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_pack_avx.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_pack_avx.a CMakeFiles/ruy_pack_avx.dir/pack_avx.cc.o /usr/bin/ranlib libruy_pack_avx.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Built target ruy_pack_avx /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_ctx.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_ctx.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c8s4r-minmax-fma3-acc2.c [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c8s4r-minmax-fma3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c8s4r-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c8s4r-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c8s4r-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c8s4r-minmax-fma3.c [ 59%] Linking CXX static library libruy_ctx.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_ctx.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_ctx.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_ctx.a CMakeFiles/ruy_ctx.dir/ctx.cc.o /usr/bin/ranlib libruy_ctx.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Built target ruy_ctx [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l16c8s4r-minmax-fma3-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l16c8s4r-minmax-fma3-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l16c8s4r-minmax-fma3-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l16c8s4r-minmax-fma3-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-7f6m6l16c8s4r-minmax-fma3-acc2.c [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l16c8s4r-minmax-fma3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l16c8s4r-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l16c8s4r-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l16c8s4r-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-7f6m6l16c8s4r-minmax-fma3.c /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_context.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_context.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_context.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_context.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_context.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_context.dir/context.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_context.dir/context.cc.o -MF CMakeFiles/ruy_context.dir/context.cc.o.d -o CMakeFiles/ruy_context.dir/context.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/context.cc [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l32c8s4r-minmax-fma3-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l32c8s4r-minmax-fma3-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l32c8s4r-minmax-fma3-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l32c8s4r-minmax-fma3-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-7f6m6l32c8s4r-minmax-fma3-acc2.c [ 59%] Linking CXX static library libruy_context.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_context.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_context.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_context.a CMakeFiles/ruy_context.dir/context.cc.o /usr/bin/ranlib libruy_context.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Built target ruy_context [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l32c8s4r-minmax-fma3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l32c8s4r-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l32c8s4r-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l32c8s4r-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-7f6m6l32c8s4r-minmax-fma3.c [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3-acc2.c /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_trmul.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_trmul.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_trmul.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_trmul.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_trmul.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_trmul.dir/trmul.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_trmul.dir/trmul.cc.o -MF CMakeFiles/ruy_trmul.dir/trmul.cc.o.d -o CMakeFiles/ruy_trmul.dir/trmul.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/trmul.cc [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3.c [ 59%] Linking CXX static library libruy_trmul.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_trmul.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_trmul.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_trmul.a CMakeFiles/ruy_trmul.dir/trmul.cc.o /usr/bin/ranlib libruy_trmul.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Built target ruy_trmul /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_prepare_packed_matrices.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_prepare_packed_matrices.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_prepare_packed_matrices.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_prepare_packed_matrices.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_prepare_packed_matrices.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_prepare_packed_matrices.dir/prepare_packed_matrices.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_prepare_packed_matrices.dir/prepare_packed_matrices.cc.o -MF CMakeFiles/ruy_prepare_packed_matrices.dir/prepare_packed_matrices.cc.o.d -o CMakeFiles/ruy_prepare_packed_matrices.dir/prepare_packed_matrices.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/prepare_packed_matrices.cc [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3-acc2.c [ 59%] Linking CXX static library libruy_prepare_packed_matrices.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_prepare_packed_matrices.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_prepare_packed_matrices.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_prepare_packed_matrices.a CMakeFiles/ruy_prepare_packed_matrices.dir/prepare_packed_matrices.cc.o /usr/bin/ranlib libruy_prepare_packed_matrices.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Built target ruy_prepare_packed_matrices /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_context_get_ctx.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_context_get_ctx.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_context_get_ctx.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_context_get_ctx.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_context_get_ctx.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_context_get_ctx.dir/context_get_ctx.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_context_get_ctx.dir/context_get_ctx.cc.o -MF CMakeFiles/ruy_context_get_ctx.dir/context_get_ctx.cc.o.d -o CMakeFiles/ruy_context_get_ctx.dir/context_get_ctx.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/context_get_ctx.cc [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c [ 59%] Linking CXX static library libruy_context_get_ctx.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_context_get_ctx.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_context_get_ctx.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_context_get_ctx.a CMakeFiles/ruy_context_get_ctx.dir/context_get_ctx.cc.o /usr/bin/ranlib libruy_context_get_ctx.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Built target ruy_context_get_ctx /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_frontend.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_frontend.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy/CMakeFiles/ruy_frontend.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f _deps/ruy-build/ruy/CMakeFiles/ruy_frontend.dir/build.make _deps/ruy-build/ruy/CMakeFiles/ruy_frontend.dir/build gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Building CXX object _deps/ruy-build/ruy/CMakeFiles/ruy_frontend.dir/frontend.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++14 -fPIC -Wall -Wextra -Wc++14-compat -Wundef -O3 -MD -MT _deps/ruy-build/ruy/CMakeFiles/ruy_frontend.dir/frontend.cc.o -MF CMakeFiles/ruy_frontend.dir/frontend.cc.o.d -o CMakeFiles/ruy_frontend.dir/frontend.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/ruy/frontend.cc [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3-acc2.c [ 59%] Linking CXX static library libruy_frontend.a cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -P CMakeFiles/ruy_frontend.dir/cmake_clean_target.cmake cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/ruy-build/ruy && /usr/bin/cmake -E cmake_link_script CMakeFiles/ruy_frontend.dir/link.txt --verbose=1 /usr/bin/ar qc libruy_frontend.a CMakeFiles/ruy_frontend.dir/frontend.cc.o /usr/bin/ranlib libruy_frontend.a gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [ 59%] Built target ruy_frontend [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c [ 59%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-1x16-minmax-fma3-broadcast.c [ 59%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16s4-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16s4-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16s4-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-1x16s4-minmax-fma3-broadcast.c [ 59%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-3x16-minmax-fma3-broadcast.c [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16s4-minmax-fma3-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16s4-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16s4-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16s4-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-3x16s4-minmax-fma3-broadcast.c [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-fma3-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-4x8-minmax-fma3-broadcast.c /usr/bin/gmake -f CMakeFiles/tensorflow-lite.dir/build.make CMakeFiles/tensorflow-lite.dir/depend gmake[2]: Entering directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/CMakeFiles/tensorflow-lite.dir/DependInfo.cmake "--color=" gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' /usr/bin/gmake -f CMakeFiles/tensorflow-lite.dir/build.make CMakeFiles/tensorflow-lite.dir/build [ 59%] Building C object 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x8-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x8-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x8-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-6x8-minmax-fma3-broadcast.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/acceleration/configuration/nnapi_plugin.cc:18: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/acceleration/configuration/nnapi_plugin.h: In constructor ‘tflite::delegates::NnapiPlugin::NnapiPlugin(const tflite::TFLiteSettings&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/acceleration/configuration/nnapi_plugin.h:74:51: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = char; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 74 | nnapi_settings->accelerator_name()->Length() != 0) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/array.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/flatbuffers.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/acceleration/configuration/configuration_generated.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/acceleration/configuration/nnapi_plugin.h:32: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/acceleration/configuration/nnapi_plugin.h: In member function ‘void tflite::delegates::NnapiPlugin::SetCompilationCacheDir(const tflite::TFLiteSettings&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/acceleration/configuration/nnapi_plugin.h:103:76: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = char; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 103 | tflite_settings.compilation_caching_settings()->cache_dir()->Length() != | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/acceleration/configuration/nnapi_plugin.h:110:75: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = char; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 110 | tflite_settings.nnapi_settings()->cache_directory()->Length() != | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/acceleration/configuration/nnapi_plugin.h: In member function ‘void tflite::delegates::NnapiPlugin::SetModelToken(const tflite::TFLiteSettings&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/acceleration/configuration/nnapi_plugin.h:122:25: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = char; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 120 | tflite_settings.compilation_caching_settings() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 121 | ->model_token() | ~~~~~~~~~~~~~~~ 122 | ->Length() != 0) { | ~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/acceleration/configuration/nnapi_plugin.h:127:71: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = char; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 127 | tflite_settings.nnapi_settings()->model_token()->Length() != 0) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x16-minmax-fma3-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x16-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x16-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x16-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-6x16-minmax-fma3-broadcast.c [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x16s4-minmax-fma3-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x16s4-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x16s4-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x16s4-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-6x16s4-minmax-fma3-broadcast.c [ 59%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/acceleration/configuration/stable_delegate_registry.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/core/acceleration/configuration/stable_delegate_registry.cc.o -MF CMakeFiles/tensorflow-lite.dir/core/acceleration/configuration/stable_delegate_registry.cc.o.d -o CMakeFiles/tensorflow-lite.dir/core/acceleration/configuration/stable_delegate_registry.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/acceleration/configuration/stable_delegate_registry.cc [ 59%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-7x8-minmax-fma3-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 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-DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/core/c/c_api_experimental.cc.o -MF CMakeFiles/tensorflow-lite.dir/core/c/c_api_experimental.cc.o.d -o CMakeFiles/tensorflow-lite.dir/core/c/c_api_experimental.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/c_api_experimental.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_signature_runner.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter.h:45, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/c/c_api_internal.h:28, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/c_api_experimental.cc:26: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 60%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-6x16-minmax-fma3-broadcast-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-5x16-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-5x16-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-5x16-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-5x16-minmax-fma3-broadcast.c [ 60%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-6x16-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-6x16-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-6x16-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-6x16-minmax-fma3-broadcast.c [ 60%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-7x16-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-7x16-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-7x16-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-7x16-minmax-fma3-broadcast.c [ 60%] Building C object 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-fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/core/kernels/register.cc.o -MF CMakeFiles/tensorflow-lite.dir/core/kernels/register.cc.o.d -o CMakeFiles/tensorflow-lite.dir/core/kernels/register.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/kernels/register.cc [ 60%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-fma3-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 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-Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-fma3-broadcast.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_signature_runner.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter.h:45, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.h:38, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/model.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/kernels/register.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/kernels/register.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 60%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16-minmax-fma3-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16-minmax-fma3-broadcast.c [ 60%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16-minmax-fma3-broadcast.c [ 60%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x16-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x16-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x16-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x16-minmax-fma3-broadcast.c [ 60%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x16-minmax-fma3-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x16-minmax-fma3-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x16-minmax-fma3-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x16-minmax-fma3-broadcast.c [ 60%] Building C object 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-fma3-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-fma3-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-fma3-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vhswish/gen/f32-vhswish-fma3-u16.c [ 60%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrsqrt/gen/f32-vrsqrt-fma3-rsqrt-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrsqrt/gen/f32-vrsqrt-fma3-rsqrt-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vrsqrt/gen/f32-vrsqrt-fma3-rsqrt-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vrsqrt/gen/f32-vrsqrt-fma3-rsqrt-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vrsqrt/gen/f32-vrsqrt-fma3-rsqrt-u8.c [ 60%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/create_op_resolver_with_builtin_ops.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/core/create_op_resolver_with_builtin_ops.cc.o -MF CMakeFiles/tensorflow-lite.dir/core/create_op_resolver_with_builtin_ops.cc.o.d -o CMakeFiles/tensorflow-lite.dir/core/create_op_resolver_with_builtin_ops.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/create_op_resolver_with_builtin_ops.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_signature_runner.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter.h:45, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.h:38, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/model.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/kernels/register.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/create_op_resolver_with_builtin_ops.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 60%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrsqrt/gen/f32-vrsqrt-fma3-rsqrt-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter.h:45, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 60%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-div-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 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-DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-div-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-div-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-div-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-div-u72.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter.cc: In member function ‘TfLiteStatus tflite::impl::Interpreter::SetMetadata(const std::map, std::__cxx11::basic_string >&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter.cc:441:47: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 441 | for 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-DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u40.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_signature_runner.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter.h:45, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.h:38, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u48.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u56.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u64.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u72.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc: In member function ‘TfLiteStatus tflite::impl::InterpreterBuilder::ParseNodes(const flatbuffers::Vector >*, tflite::Subgraph*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc:342:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 342 | for (int i = 0; i < operators->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc:345:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 345 | if (index < 0 || index >= flatbuffer_op_index_to_registration_.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc: In member function ‘TfLiteStatus tflite::impl::InterpreterBuilder::ParseQuantization(const tflite::QuantizationParameters*, TfLiteQuantization*, const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc:440:48: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 440 | src_quantization->quantized_dimension() >= dims.size())) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc:452:19: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘const __gnu_cxx::__alloc_traits, int>::value_type’ {aka ‘const int’} [-Wsign-compare] 452 | num_scales != dims[src_quantization->quantized_dimension()])) { /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc: In member function ‘TfLiteStatus tflite::impl::InterpreterBuilder::ParseSparsity(const tflite::SparsityParameters*, TfLiteSparsity**)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc:497:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 497 | for (int i = 0; i < traversal_order_size; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc:505:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 505 | for (int i = 0; i < block_map_size; i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc:517:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 517 | for (int i = 0; i < dim_metadata_size; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc: In member function ‘TfLiteStatus tflite::impl::InterpreterBuilder::ParseTensors(const flatbuffers::Vector >*, const flatbuffers::Vector >*, tflite::Subgraph*, TfLiteTelemetrySubgraphInfo*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc:607:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 607 | for (int i = 0; i < tensors->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc: In member function ‘TfLiteStatus tflite::impl::InterpreterBuilder::operator()(std::unique_ptr*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc:829:47: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 829 | for (int subgraph_index = 0; subgraph_index < subgraphs->size(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc:866:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 866 | for (int i = 0; i < modified_subgraph->tensors_size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u80.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc: In instantiation of ‘std::vector tflite::{anonymous}::FlatBufferIntArrayToVector(T*) [with T = const flatbuffers::Vector]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc:398:35: required from here 398 | FlatBufferIntArrayToVector(op->inputs()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.cc:305:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 305 | for (int i = 0; i < flat_array->size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut8-p4h3ts-div-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut8-p4h3ts-div-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut8-p4h3ts-div-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut8-p4h3ts-div-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut8-p4h3ts-div-u8.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut8-p4h3ts-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut8-p4h3ts-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut8-p4h3ts-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut8-p4h3ts-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut8-p4h3ts-div-u16.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut8-p4h3ts-div-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut8-p4h3ts-div-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut8-p4h3ts-div-u24.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-lut8-p4h3ts-div-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 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-DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-div-u16.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/c/common_internal.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_experimental.cc:25: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_experimental.cc: In member function ‘TfLiteStatus tflite::impl::Interpreter::SetBufferHandle(int, TfLiteBufferHandle, TfLiteDelegate*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_experimental.cc:93:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 93 | TF_LITE_ENSURE(context_, tensor_index < tensors_size()); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_experimental.cc: In member function ‘TfLiteStatus tflite::impl::Interpreter::GetBufferHandle(int, TfLiteBufferHandle*, TfLiteDelegate**)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_experimental.cc:117:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 117 | TF_LITE_ENSURE(context_, tensor_index < tensors_size()); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-div-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-div-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-div-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-div-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-div-u72.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-div-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-div-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-div-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-div-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-div-u80.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/model_builder.cc: In static member function ‘static bool tflite::impl::FlatBufferModel::CheckBufferOutsideModel(const tflite::Model*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/model_builder.cc:376:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 376 | for (int i = 0; i < model->metadata()->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/model_builder.cc: In member function ‘std::string tflite::impl::FlatBufferModel::GetMinimumRuntime() const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/model_builder.cc:388:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 388 | for (int i = 0; i < model_->metadata()->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/model_builder.cc:397:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 397 | for (int len = 0; len < array->size(); ++len) { | ~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/model_builder.cc: In static member function ‘static std::map, std::__cxx11::basic_string > tflite::impl::FlatBufferModel::ReadAllMetadata(const tflite::Model*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/model_builder.cc:422:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 422 | for (int i = 0; i < model->metadata()->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u8.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u16.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u24.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/signature_runner.h:34, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/signature_runner.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u16.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u24.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u32.c [ 61%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/subgraph.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/core/subgraph.cc.o -MF CMakeFiles/tensorflow-lite.dir/core/subgraph.cc.o.d -o CMakeFiles/tensorflow-lite.dir/core/subgraph.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:346:1: warning: multi-line comment [-Wcomment] 346 | // | TfLiteIntArray* nodes_to_replace; |--\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:368:1: warning: multi-line comment [-Wcomment] 368 | // | TfLiteIntArray* nodes_to_replace; |--\ | ^ [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u40.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u48.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u56.c [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u64.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In destructor ‘virtual tflite::Subgraph::~Subgraph()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:290:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 290 | for (int node_index = 0; node_index < nodes_and_registration_.size(); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In member function ‘std::vector tflite::Subgraph::GetInputTensorsCount()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:950:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 950 | execution_plan_index < execution_plan().size(); execution_plan_index++) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:961:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 961 | for (int i = 0; i < outputs_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In function ‘bool tflite::{anonymous}::AnyTensorOfTypeResource(const std::vector&, const TfLiteIntArray*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:1147:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1147 | if (tensor_index >= 0 && tensor_index < tensors.size() && | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/array.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:32: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In member function ‘TfLiteStatus tflite::Subgraph::ResizeInputTensor(int, const int*, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:1187:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1187 | tensor_index < context_.tensors_size && tensor_index >= 0); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In member function ‘TfLiteStatus tflite::Subgraph::ResizeInputTensorStrict(int, const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:1217:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1217 | tensor_index < context_.tensors_size && tensor_index >= 0); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:248:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 248 | if ((a) != (b)) { \ | ~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:1221:3: note: in expansion of macro ‘TF_LITE_ENSURE_EQ’ 1221 | TF_LITE_ENSURE_EQ(&context_, tensor->dims->size, dims.size()); | ^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In member function ‘TfLiteStatus tflite::Subgraph::PrepareOpsStartingAt(int, const std::vector&, int*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:1496:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1496 | execution_plan_index < execution_plan.size(); execution_plan_index++) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In member function ‘TfLiteStatus tflite::Subgraph::PrepareOpsAndTensors()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:1533:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1533 | for (int i = 0; i < delegates_applied_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In member function ‘TfLiteStatus tflite::Subgraph::InvokeImpl()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:1646:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1646 | execution_plan_index < execution_plan_.size(); execution_plan_index++) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In member function ‘TfLiteStatus tflite::Subgraph::SetTensorParametersReadOnly(int, TfLiteType, const char*, size_t, const int*, TfLiteQuantization, const char*, size_t, const tflite::Allocation*, TfLiteSparsity*, size_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:1895:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1895 | tensor_index < context_.tensors_size && tensor_index >= 0); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In member function ‘TfLiteStatus tflite::Subgraph::SetTensorParametersReadWrite(int, TfLiteType, const char*, size_t, const int*, TfLiteQuantization, bool, size_t, const int*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:1954:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1954 | tensor_index < context_.tensors_size && tensor_index >= 0); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In member function ‘TfLiteStatus tflite::Subgraph::SetExecutionPlan(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:1995:46: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1995 | node_index < nodes_and_registration_.size()); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In member function ‘void tflite::Subgraph::OptimizeMemoryForLargeTensors(int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:2051:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 2051 | if (tensor->bytes >= large_tensors_thresholds_in_bytes && | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In member function ‘TfLiteStatus tflite::Subgraph::UndoAllDelegates()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:2124:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2124 | execution_plan_index < execution_plan_.size(); ++execution_plan_index) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:2147:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2147 | execution_plan_index < execution_plan_.size(); ++execution_plan_index) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:2165:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2165 | execution_plan_index < execution_plan_.size(); ++execution_plan_index) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:2185:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2185 | execution_plan_index < execution_plan_.size(); ++execution_plan_index) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In member function ‘void tflite::Subgraph::InitializeTensorReleaseMap()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:2442:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2442 | for (int i = 0; i < execution_plan_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc: In member function ‘void tflite::Subgraph::MaybeReleaseDynamicTensors(const TfLiteNode&, size_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:2490:60: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2490 | if (it != tensor_to_last_op_index_.end() && it->second == node_index) { | ~~~~~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.cc:2510:60: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2510 | if (it != tensor_to_last_op_index_.end() && it->second == node_index) { | ~~~~~~~~~~~^~~~~~~~~~~~~ [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-expm1minus-rr1-p6h5ts-nr1adj-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-rational-9-6-nr-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-rational-9-6-nr-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-rational-9-6-nr-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-fma3-rational-9-6-nr-u16.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_signature_runner.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_signature_runner.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 61%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-fma3-rational-9-6-nr-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-fma3-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj.c [ 62%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma3-expm1minus-rr1-lut8-p4h3ps-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mno-avx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma3-expm1minus-rr1-lut8-p4h3ps-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma3-expm1minus-rr1-lut8-p4h3ps-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma3-expm1minus-rr1-lut8-p4h3ps-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-fma3-expm1minus-rr1-lut8-p4h3ps-div.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.cc: In member function ‘bool tflite::async::AsyncSubgraph::ReconcileRestrictions(int, const TfLiteAttributeMap*, TfLiteAttributeMap*, TfLiteAttributeMap*) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.cc:167:40: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 167 | if (tensor_index < 0 || tensor_index >= subgraph_->tensors_size()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.cc: In member function ‘TfLiteStatus tflite::async::AsyncSubgraph::SetAttributes(int, const TfLiteAttributeMap*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.cc:180:40: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 180 | if (tensor_index < 0 || tensor_index >= subgraph_->tensors_size()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-fma3-expm1minus-rr1-lut8-p4h3ps-nr1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/core/async/c/async_signature_runner.cc.o -MF CMakeFiles/tensorflow-lite.dir/core/async/c/async_signature_runner.cc.o.d -o CMakeFiles/tensorflow-lite.dir/core/async/c/async_signature_runner.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/c/async_signature_runner.cc [ 62%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-1x8-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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-ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-1x8-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-1x8-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-1x8-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-1x8-minmax-avx2-broadcast.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_signature_runner.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter.h:45, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/c/c_api_internal.h:28, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/c/async_signature_runner.cc:17: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 62%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-1x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-1x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-1x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-1x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-1x16-minmax-avx2-broadcast.c [ 62%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-3x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-3x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-3x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-3x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-3x16-minmax-avx2-broadcast.c [ 62%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-4x8-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-4x8-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-4x8-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-4x8-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-4x8-minmax-avx2-broadcast.c [ 62%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-4x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-4x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-4x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-4x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-4x16-minmax-avx2-broadcast.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/c/async_signature_runner.cc: In function ‘const char* TfLiteAsyncSignatureRunnerGetInputName(const TfLiteAsyncSignatureRunner*, int32_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/c/async_signature_runner.cc:160:38: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 160 | if (input_index < 0 || input_index >= count) { | ~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/c/async_signature_runner.cc:164:19: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 164 | if (input_index >= input_names.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/c/async_signature_runner.cc: In function ‘const char* TfLiteAsyncSignatureRunnerGetOutputName(const TfLiteAsyncSignatureRunner*, int32_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/c/async_signature_runner.cc:182:40: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 182 | if (output_index < 0 || output_index >= count) { | ~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/c/async_signature_runner.cc:186:20: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 186 | if (output_index >= output_names.size()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-gemm/gen/f16-f32acc-gemm-5x8-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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CMakeFiles/tensorflow-lite.dir/core/async/interop/variant.cc.o -MF CMakeFiles/tensorflow-lite.dir/core/async/interop/variant.cc.o.d -o CMakeFiles/tensorflow-lite.dir/core/async/interop/variant.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/interop/variant.cc [ 63%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-igemm/gen/f16-f32acc-igemm-4x8-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 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CMakeFiles/microkernels-all.dir/src/f16-f32acc-igemm/gen/f16-f32acc-igemm-4x8-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-igemm/gen/f16-f32acc-igemm-4x8-minmax-avx2-broadcast.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/interop/variant.cc: In member function ‘bool tflite::interop::Variant::operator==(const tflite::interop::Variant&) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/interop/variant.cc:43:1: warning: control reaches end of non-void function [-Wreturn-type] 43 | } | ^ [ 63%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/async/interop/c/attribute_map.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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-Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/core/tools/verifier.cc.o -MF CMakeFiles/tensorflow-lite.dir/core/tools/verifier.cc.o.d -o CMakeFiles/tensorflow-lite.dir/core/tools/verifier.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/tools/verifier.cc [ 63%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-igemm/gen/f16-f32acc-igemm-5x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-igemm/gen/f16-f32acc-igemm-5x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-igemm/gen/f16-f32acc-igemm-5x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-igemm/gen/f16-f32acc-igemm-5x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-igemm/gen/f16-f32acc-igemm-5x16-minmax-avx2-broadcast.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_signature_runner.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter.h:45, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.h:38, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/model.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/tools/verifier.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/tools/verifier.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 63%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-igemm/gen/f16-f32acc-igemm-6x8-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x16-minmax-avx2-broadcast.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-3x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-3x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-3x16-minmax-avx2-broadcast.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x8-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x8-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x8-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gemm/gen/f16-gemm-4x8-minmax-avx2-broadcast.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/tools/verifier.cc: In function ‘bool tflite::{anonymous}::VerifyOps(const tflite::Model&, const tflite::OpResolver&, tflite::ErrorReporter*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/tools/verifier.cc:694:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 694 | for (int i = 0; i < model.operator_codes()->size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gemm/gen/f16-gemm-4x16-minmax-avx2-broadcast.c [ 63%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x8-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 63%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u32-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u32-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u32-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u32-acc2.c [ 63%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u32-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 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-fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/c/c_api_opaque_internal.cc.o -MF CMakeFiles/tensorflow-lite.dir/c/c_api_opaque_internal.cc.o.d -o CMakeFiles/tensorflow-lite.dir/c/c_api_opaque_internal.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/c/c_api_opaque_internal.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/c/c_api_opaque_internal.cc:24: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 63%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u48-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/api.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/api.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/api.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.cc [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u80-acc5.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u80-acc5.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u80-acc5.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u80-acc5.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u80-acc5.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h:43, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u80.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::InferenceBuilder::SetAllInputObjectDefsTo(tflite::gpu::ObjectDef)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h:276:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 276 | for (int i = 0; i < input_defs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::InferenceBuilder::SetAllOutputObjectDefsTo(tflite::gpu::ObjectDef)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h:283:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 283 | for (int i = 0; i < output_defs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.cc: In function ‘bool tflite::gpu::IsObjectPresent(ObjectType, const TensorObject&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.cc:101:1: warning: control reaches end of non-void function [-Wreturn-type] 101 | } | ^ [ 64%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/delegate.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/delegate.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/delegate.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/delegate.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/delegate.cc [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc2.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_signature_runner.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter.h:45, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.h:38, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/model.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/delegate.cc:57: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc3.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc6.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc6.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc6.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc6.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96-acc6.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h:43, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/delegate.cc:54: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::InferenceBuilder::SetAllInputObjectDefsTo(tflite::gpu::ObjectDef)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h:276:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 276 | for (int i = 0; i < input_defs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::InferenceBuilder::SetAllOutputObjectDefsTo(tflite::gpu::ObjectDef)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h:283:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 283 | for (int i = 0; i < output_defs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-u96.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-velu/gen/f16-velu-avx2-rr1-p3-u8.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-velu/gen/f16-velu-avx2-rr1-p3-u16.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u8.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/delegate.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::DelegateKernel::GetRequiredTemporaries(TfLiteContext*, TfLiteNode*, TfLiteIntArray**)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/delegate.cc:711:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 711 | for (int i = 0; i < temporary_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/delegate.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::DelegateKernel::SetInputsAndOutputs(TfLiteContext*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/delegate.cc:744:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 744 | for (int i = 0; i < core_.input_indices().size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/delegate.cc:748:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 748 | for (int i = 0; i < core_.output_indices().size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u24.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.h:30, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/delegate.cc:55: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u32.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u40.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/api.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/api.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/api.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u40.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h:43, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.h:29, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u48.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::InferenceBuilder::SetAllInputObjectDefsTo(tflite::gpu::ObjectDef)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h:276:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 276 | for (int i = 0; i < input_defs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::InferenceBuilder::SetAllOutputObjectDefsTo(tflite::gpu::ObjectDef)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h:283:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 283 | for (int i = 0; i < output_defs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u56.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-u64.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::cl::{anonymous}::InferenceRunnerImpl::GetInputObject(int, tflite::gpu::TensorObject*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc:491:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 491 | if (index < 0 || index >= inputs_.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::cl::{anonymous}::InferenceRunnerImpl::GetOutputObject(int, tflite::gpu::TensorObject*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc:499:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 499 | if (index < 0 || index >= outputs_.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::cl::{anonymous}::InferenceRunnerImpl::SetInputObject(int, tflite::gpu::TensorObject)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc:507:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 507 | if (index < 0 || index >= inputs_.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::cl::{anonymous}::InferenceRunnerImpl::SetOutputObject(int, tflite::gpu::TensorObject)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc:514:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 514 | if (index < 0 || index >= outputs_.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::cl::{anonymous}::InferenceRunnerImpl::CopyFromExternalInput(int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc:521:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 521 | if (index > inputs_.size()) { | ~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::cl::{anonymous}::InferenceRunnerImpl::CopyToExternalOutput(int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc:529:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 529 | if (index > outputs_.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::cl::{anonymous}::InferenceBuilderImpl::SetInputShape(int, const tflite::gpu::Dimensions&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc:780:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 780 | if (index < 0 || index >= inputs_.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::cl::{anonymous}::InferenceBuilderImpl::SetInputObjectDef(int, tflite::gpu::ObjectDef)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc:787:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 787 | if (index < 0 || index >= inputs_.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::cl::{anonymous}::InferenceBuilderImpl::SetOutputObjectDef(int, tflite::gpu::ObjectDef)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.cc:801:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 801 | if (index < 0 || index >= outputs_.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~~ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u8.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/api.h:30: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u16.c [ 64%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u40.c [ 64%] Building C object 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u48.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u56.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u64.c [ 64%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/buffer.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/buffer.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/buffer.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/buffer.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/buffer.cc [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u72.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/buffer.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/buffer.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-div-u80.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u8.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_arguments.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_arguments.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_arguments.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_arguments.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_arguments.cc [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u24.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_arguments.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_arguments.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u32.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u40.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_arguments.cc: In member function ‘std::string tflite::gpu::cl::CLArguments::GetListOfArgs()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_arguments.cc:521:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 521 | for (int i = 0; i < shared_int4s_data_.size() / 4; ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_arguments.cc:524:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 524 | for (int i = 0; i < shared_float4s_data_.size() / 4; ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_arguments.cc:527:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 527 | for (int i = 0; i < shared_half4s_data_.size() / 4; ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_arguments.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::cl::CLArguments::Bind(cl_kernel, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_arguments.cc:594:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 594 | for (int i = 0; i < shared_int4s_data_.size() / 4; ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_arguments.cc:604:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 604 | for (int i = 0; i < shared_float4s_data_.size() / 4; ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_arguments.cc:614:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 614 | for (int i = 0; i < shared_half4s_data_.size() / 4; ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u48.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_arguments.cc: In function ‘std::string tflite::gpu::cl::{anonymous}::GetImageModifier(tflite::gpu::AccessType)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_arguments.cc:74:1: warning: control reaches end of non-void function [-Wreturn-type] 74 | } | ^ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u56.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u64.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vtanh/gen/f16-vtanh-avx2-expm1minus-rr1-p3h2ts-rcp-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-4x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-4x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-4x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-4x16-minmax-avx2-broadcast.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_buffer.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_buffer.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-5x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-5x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-5x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-5x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-5x16-minmax-avx2-broadcast.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-6x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-6x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-6x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-6x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-6x16-minmax-avx2-broadcast.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-7x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-7x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-7x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-7x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-7x16-minmax-avx2-broadcast.c [ 64%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_command_queue.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_command_queue.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_command_queue.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_command_queue.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.cc In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-8x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-8x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-8x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-8x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-8x16-minmax-avx2-broadcast.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.cc: In member function ‘tflite::gpu::ProfilingInfo tflite::gpu::cl::ProfilingCommandQueue::GetProfilingInfo() const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.cc:256:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 256 | for (int i = 0; i < number_of_dispatches_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::cl::ProfilingCommandQueue::GetBestWorkGroupIndex(const tflite::gpu::cl::CLKernel&, const tflite::gpu::GpuInfo&, const std::vector >&, const std::vector >&, int*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.cc:281:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 281 | for (int i = 0; i < work_group_sizes.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.cc:307:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 307 | for (int i = 0; i < work_group_sizes.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.cc:314:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 314 | for (int i = 0; i < work_group_sizes.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.cc:322:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 322 | for (int i = 0; i < work_group_sizes.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.cc: In member function ‘double tflite::gpu::cl::ProfilingCommandQueue::GetSumOfEventsTimeMs() const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.cc:361:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 361 | for (int i = 0; i < events_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x8-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x8-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x8-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x8-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x8-minmax-avx2-broadcast.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x16-minmax-avx2-broadcast.c [ 64%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_context.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_context.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_context.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_context.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.cc [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x16s4-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x16s4-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x16s4-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x16s4-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x16s4-minmax-avx2-broadcast.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16-minmax-avx2-broadcast.c [ 64%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16s4-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16s4-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16s4-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16s4-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16s4-minmax-avx2-broadcast.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-avx2-broadcast.c [ 65%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_device.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_device.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_device.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_device.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.cc [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16s4-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16s4-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16s4-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16s4-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16s4-minmax-avx2-broadcast.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x8-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x8-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x8-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x8-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x8-minmax-avx2-broadcast.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.cc: In function ‘tflite::gpu::GpuInfo tflite::gpu::cl::{anonymous}::GpuInfoFromDeviceID(cl_device_id, cl_platform_id)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.cc:359:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 359 | for (int i = 0; i < sub_groups_count; ++i) { | ~~^~~~~~~~~~~~~~~~~~ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16-minmax-avx2-broadcast.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.cc: At global scope: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.cc:194:6: warning: ‘bool tflite::gpu::cl::{anonymous}::IsGPUVersionInRange(int, int, int)’ defined but not used [-Wunused-function] 194 | bool IsGPUVersionInRange(int gpu_version, int min_version, int max_version) { | ^~~~~~~~~~~~~~~~~~~ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16s4-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16s4-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16s4-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16s4-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16s4-minmax-avx2-broadcast.c [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x8-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x8-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x8-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x8-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x8-minmax-avx2-broadcast.c [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16-minmax-avx2-broadcast.c [ 65%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_event.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_event.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_event.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_event.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_event.cc [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16s4-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16s4-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16s4-minmax-avx2-broadcast.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_event.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_event.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x8-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x8-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x8-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x8-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x8-minmax-avx2-broadcast.c [ 65%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_image_format.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_image_format.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_image_format.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_image_format.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_image_format.cc [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16-minmax-avx2-broadcast.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_image_format.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_image_format.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16s4-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16s4-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16s4-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16s4-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-6x16s4-minmax-avx2-broadcast.c [ 65%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_kernel.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_kernel.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_kernel.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_kernel.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_kernel.cc [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x8-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x8-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x8-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x8-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x8-minmax-avx2-broadcast.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_kernel.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_kernel.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-7x16-minmax-avx2-broadcast.c [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x8-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x8-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x8-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x8-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x8-minmax-avx2-broadcast.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x16-minmax-avx2-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x16-minmax-avx2-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x16-minmax-avx2-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x16-minmax-avx2-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-8x16-minmax-avx2-broadcast.c [ 65%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_memory.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_memory.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_memory.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_memory.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_memory.cc In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_memory.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_memory.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u16.c [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u32.c [ 65%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_operation.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_operation.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_operation.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/cl_operation.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_operation.cc [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u48.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_arguments.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_operation.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_operation.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-u64.c [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-u16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_operation.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::cl::ClOperation::UpdateParams()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_operation.cc:127:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 127 | for (int i = 0; i < operation_->GetSrcTensorsNames().size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_operation.cc:136:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 136 | for (int i = 0; i < operation_->GetDstTensorsNames().size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_operation.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::cl::ClOperation::Tune(tflite::gpu::TuningType, const tflite::gpu::GpuInfo&, tflite::gpu::cl::ProfilingCommandQueue*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_operation.cc:206:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 206 | for (int i = 0; i < possible_dispatches.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u32-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u32-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u32-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u32-acc2.c [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u32-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u32-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u32-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u32-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u32-acc4.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_program.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_program.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64-acc2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_program.cc: In function ‘std::string tflite::gpu::cl::{anonymous}::CompilerOptionToString(const tflite::gpu::GpuInfo&, tflite::gpu::CompilerOptions)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_program.cc:118:1: warning: control reaches end of non-void function [-Wreturn-type] 118 | } | ^ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64-acc4.c [ 65%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/environment.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/environment.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/environment.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/environment.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/environment.cc [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u64.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/environment.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/environment.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u72-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u72-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u72-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u72-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u72-acc3.c [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u72.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/environment.cc: In function ‘bool tflite::gpu::cl::{anonymous}::IsGpuSupportsPrecision(const tflite::gpu::GpuInfo&, tflite::gpu::CalculationsPrecision)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/environment.cc:83:1: warning: control reaches end of non-void function [-Wreturn-type] 83 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/environment.cc: At global scope: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/environment.cc:29:14: warning: ‘absl::lts_20240722::Status tflite::gpu::cl::{anonymous}::CreateEnvironment(tflite::gpu::cl::Environment*, bool, cl_context_properties, cl_context_properties)’ defined but not used [-Wunused-function] 29 | absl::Status CreateEnvironment(Environment* result, bool shared, | ^~~~~~~~~~~~~~~~~ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u80-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u80-acc5.c.o -MF 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u80.c [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u96-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u96-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u96-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u96-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u96-acc2.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/buffer.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u96-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u96-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u96-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u96-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u96-acc3.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc: In function ‘tflite::gpu::cl::TensorType tflite::gpu::cl::{anonymous}::GetTensorType(const tflite::gpu::GpuModel&, const tflite::gpu::CreateGpuModelInfo*, const tflite::gpu::GpuInfo&, tflite::gpu::ValueId)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:96:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 96 | for (int i = 0; i < gpu_model.variable_ids_and_refs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc: In function ‘void tflite::gpu::cl::{anonymous}::GetUsages(const tflite::gpu::GpuModel&, const std::function&, std::map >*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:126:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 126 | for (int op_index = 0; op_index < model.nodes.size(); ++op_index) { | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc: In function ‘absl::lts_20240722::Status tflite::gpu::cl::{anonymous}::ClarifyWithCommandBuffer(tflite::gpu::cl::ProfilingCommandQueue*, int, double, const std::vector&, std::vector*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:236:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int node_index = 0; node_index < nodes.size(); ++node_index) { | ~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:250:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | for (int node_index = 0; node_index < nodes.size(); ++node_index) { | ~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:256:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 256 | for (int node_index = 0; node_index < nodes.size(); ++node_index) { | ~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::cl::InferenceContext::RestoreDeserialized(absl::lts_20240722::Span, tflite::gpu::cl::Environment*, tflite::gpu::CreateGpuModelInfo*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:445:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 445 | for (int i = 0; i < nodes_.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc: In member function ‘void tflite::gpu::cl::InferenceContext::InitFromGpuModel(tflite::gpu::GpuModel*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:474:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 474 | for (int i = 0; i < gpu_model->nodes.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc: In member function ‘void tflite::gpu::cl::InferenceContext::InitRecordableQueue(tflite::gpu::cl::Environment*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:484:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 484 | for (int i = 0; i < nodes_.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::cl::InferenceContext::AllocateBufferBasedTensors(const tflite::gpu::GpuModel&, const tflite::gpu::GpuInfo&, const tflite::gpu::CreateGpuModelInfo*, tflite::gpu::cl::CLContext*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:575:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 575 | for (int i = 0; i < offset_assignment.offsets.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:599:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 599 | for (int i = 0; i < buffer_assignment.object_sizes.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:609:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 609 | for (int i = 0; i < buffer_assignment.object_sizes.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc: In member function ‘void tflite::gpu::cl::InferenceContext::BindMemoryToOperations()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:737:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 737 | for (int i = 0; i < node.inputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:740:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 740 | for (int i = 0; i < node.outputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::cl::InferenceContext::SetTensor(const tflite::gpu::ValueId&, tflite::gpu::cl::Tensor*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:806:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 806 | for (int i = 0; i < node.inputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:811:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 811 | for (int i = 0; i < node.outputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc: In member function ‘void tflite::gpu::cl::InferenceContext::PrepareExternal()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:822:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 822 | for (int i = 0; i < nodes_.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:825:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 825 | for (int i = 0; i < src_ids.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:831:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 831 | for (int i = 0; i < dst_ids.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::cl::InferenceContext::ClarifyTimeWithCommandBuffer(tflite::gpu::cl::ProfilingCommandQueue*, tflite::gpu::ProfilingInfo*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:875:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 875 | for (int node_index = 0; node_index < nodes_.size(); | ~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:879:60: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 879 | for (int i = 0; i < node_group_count && node_index + i < nodes_.size(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:887:60: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 887 | for (int i = 0; i < node_group_count && node_index + i < nodes_.size(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::cl::InferenceContext::ClarifyTimeMultipleEnqueue(double, int, int, tflite::gpu::cl::ProfilingCommandQueue*, tflite::gpu::ProfilingInfo*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:900:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 900 | for (int i = 0; i < nodes_.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::cl::InferenceContext::Profile(tflite::gpu::cl::ProfilingCommandQueue*, tflite::gpu::ProfilingInfo*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:953:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 953 | for (int i = 0; i < nodes_.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc: In member function ‘flatbuffers::Offset tflite::gpu::cl::InferenceContext::Encode(const tflite::gpu::cl::CLDevice&, const tflite::gpu::cl::ProgramCache&, flatbuffers::Offset, flatbuffers::FlatBufferBuilder*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:1055:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1055 | for (int i = 0; i < nodes_.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/inference_context.cc:1062:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1062 | for (int i = 0; i < nodes_.size(); ++i) { | ~~^~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-u96-acc6.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u64-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u64-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u64-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u64-acc2.c [ 65%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u64-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u64-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u64-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u64-acc4.c [ 65%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u64.c [ 65%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u72-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u72-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u72-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u72-acc3.c [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u72.c [ 65%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u80-acc5.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u80-acc5.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u80-acc5.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u80-acc5.c [ 65%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u80.c [ 65%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u96-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u96-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u96-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u96-acc2.c [ 65%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u96-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u96-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u96-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-u96-acc3.c [ 65%] Building C object 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/opencl_wrapper.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/opencl_wrapper.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/opencl_wrapper.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/opencl_wrapper.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.cc [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u32-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u32-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u32-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u32-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u32-acc2.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. 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-Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u64-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u64-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u64-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u64-acc2.c [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u64-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u64.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/program_cache.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/program_cache.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u72-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u72-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u72-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u72-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u72-acc3.c [ 65%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u80-acc5.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u80-acc5.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u80-acc5.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u80-acc5.c [ 66%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/qcom_thin_filter.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/qcom_thin_filter.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/qcom_thin_filter.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/qcom_thin_filter.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/qcom_thin_filter.cc [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u80.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/qcom_thin_filter.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/qcom_thin_filter.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc2.c [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc3.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc6.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc6.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc6.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc6.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96-acc6.c [ 66%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/tensor.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/tensor.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/tensor.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/tensor.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/tensor.cc [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-u96.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/tensor.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/tensor.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u8.c [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u16.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u24.c [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/tensor.cc: In function ‘tflite::gpu::cl::CreateTensorSharedImage2DBuffer(tflite::gpu::cl::CLContext const&, _cl_mem*, tflite::gpu::TensorDescriptor const&, int, tflite::gpu::cl::Tensor*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/tensor.cc:510:59: warning: ‘image_memory’ may be used uninitialized [-Wmaybe-uninitialized] 510 | *result = Tensor(memory, false, image_memory, descriptor); | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/tensor.cc:506:10: note: ‘image_memory’ was declared here 506 | cl_mem image_memory; | ^~~~~~~~~~~~ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u40.c [ 66%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/tensor_type_util.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/tensor_type_util.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/tensor_type_util.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/tensor_type_util.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/tensor_type_util.cc [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u48.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h:43, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/tensor_type_util.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/tensor_type_util.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u56.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::InferenceBuilder::SetAllInputObjectDefsTo(tflite::gpu::ObjectDef)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h:276:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 276 | for (int i = 0; i < input_defs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::InferenceBuilder::SetAllOutputObjectDefsTo(tflite::gpu::ObjectDef)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h:283:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 283 | for (int i = 0; i < output_defs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/tensor_type_util.h:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u72.c [ 66%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/util.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/util.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/util.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/util.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.cc [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-u80.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u8.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u16.c [ 66%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/default/recordable_queue.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/default/recordable_queue.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/default/recordable_queue.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/default/recordable_queue.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/default/recordable_queue.cc [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u24.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/recordable_queue.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/default/recordable_queue.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u32.c [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u40.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/default/util.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/default/util.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/default/util.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/default/util.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/default/util.cc [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u56.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/default/util.cc:20: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u64.c [ 66%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u72.c [ 66%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/kernels/converter.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/kernels/converter.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/kernels/converter.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/cl/kernels/converter.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/kernels/converter.cc [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-u80.c In file included from /usr/include/CL/cl.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_context.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_command_queue.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/environment.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/kernels/converter.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/kernels/converter.cc:16: /usr/include/CL/cl_version.h:22:104: note: ‘#pragma message: cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)’ 22 | #pragma message("cl_version.h: CL_TARGET_OPENCL_VERSION is not defined. Defaulting to 300 (OpenCL 3.0)") | ^ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u8.c [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u16.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/spi.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/kernels/converter.h:22: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::InferenceBuilder::SetAllInputObjectDefsTo(tflite::gpu::ObjectDef)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h:276:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 276 | for (int i = 0; i < input_defs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::InferenceBuilder::SetAllOutputObjectDefsTo(tflite::gpu::ObjectDef)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/api.h:283:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 283 | for (int i = 0; i < output_defs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/kernels/converter.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::cl::{anonymous}::CpuCopier::CopyToBoolCpu(const tflite::gpu::TensorObject&, const tflite::gpu::CpuMemory*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/kernels/converter.cc:521:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 521 | for (int i = 0; i < num_elements; ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/kernels/converter.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::cl::{anonymous}::CpuCopier::CopyFromBoolCpu(const tflite::gpu::CpuMemory*, const tflite::gpu::TensorObject&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/kernels/converter.cc:533:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 533 | for (int i = 0; i < num_elements; ++i) { | ~~^~~~~~~~~~~~~~ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u24.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tensor.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/util.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/cl/cl_device.h:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u32.c [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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‘in_memory’ was declared here 169 | cl_mem in_memory; | ^~~~~~~~~ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/default/custom_parsers.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u8.c [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u16.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operation_parser.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/custom_parsers.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/default/custom_parsers.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u24.c [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u32.c.o [ 66%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/default/custom_transformations.cc.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/default/custom_transformations.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/default/custom_transformations.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/default/custom_transformations.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/default/custom_transformations.cc [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u40.c [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u48.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/custom_transformations.h:18, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/default/custom_transformations.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-u56.c.o.d -o 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/memory_management/min_cost_flow_assignment.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/memory_management/min_cost_flow_assignment.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/memory_management/min_cost_flow_assignment.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/memory_management/min_cost_flow_assignment.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/memory_management/min_cost_flow_assignment.cc [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u64.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/memory_management/min_cost_flow_assignment.cc: In member function ‘void tflite::gpu::{anonymous}::MinCostFlowSolver::Solve()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/memory_management/min_cost_flow_assignment.cc:104:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | if (new_dist < dist[u]) { [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u80.c [ 66%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/memory_management/types.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/memory_management/types.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/memory_management/types.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/memory_management/types.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/memory_management/types.cc [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u88.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u88.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u88.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u88.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u88.c [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u96.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u96.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u96.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u96.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-u96.c [ 66%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/selectors/operation_selector.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/selectors/operation_selector.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/selectors/operation_selector.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/selectors/operation_selector.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.cc:41: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/mean_stddev_normalization.h:75:1: warning: multi-line comment [-Wcomment] 75 | // / \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/mean_stddev_normalization.h:79:1: warning: multi-line comment [-Wcomment] 79 | // / \ | ^ [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u8.c [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u16.c [ 66%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u24.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.h: In member function ‘void tflite::gpu::SharedWeightsConvDesc::RemapIds(const absl::lts_20240722::flat_hash_map&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.h:43:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 43 | for (int i = 0; i < global_const_ids.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.cc: In function ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::AddDynamicConv(tflite::gpu::ModelHints, const tflite::gpu::GpuInfo&, const tflite::gpu::OperationDef&, tflite::gpu::OperationType, const tflite::gpu::BHWC&, const tflite::gpu::OHWI&, const tflite::gpu::BHWC&, int, int, int, tflite::gpu::GPUOperationsSubgraph*, void*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.cc:229:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 229 | for (int i = 1; i < conv_def.src_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.cc: In function ‘void tflite::gpu::{anonymous}::AddConvSharedWeights(const tflite::gpu::Convolution2DAttributes&, const tflite::gpu::WeightsDescription&, std::vector*, tflite::gpu::GPUOperationsSubgraph*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.cc:252:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 252 | for (int i = 0; i < shared_conv_weights->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.cc:260:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 260 | for (int i = 0; i < new_ids.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.cc: In function ‘absl::lts_20240722::Status tflite::gpu::GPUOperationFromNodePart0(const GpuInfo&, const OperationDef&, ModelHints, const std::vector&, const std::vector&, const Node&, std::vector*, GPUOperationsSubgraph*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.cc:349:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 349 | for (int i = 0; i < inputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.cc:440:25: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 440 | if (inputs.size() >= max_inputs) { | ~~~~~~~~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.cc:459:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 459 | if (src_index >= op_def.src_tensors.size()) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.cc:486:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 486 | for (int i = 0; i < inputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.cc:724:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 724 | for (int i = 0; i < outputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.h:22: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u32.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u40.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u48.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u56.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u64.c [ 67%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u72.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u80.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u88.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u88.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u88.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u88.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-u88.c [ 67%] Building C object 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-DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u32.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u40.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/simple_selectors.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/simple_selectors.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u48.c [ 67%] Building C object 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u56.c [ 67%] Building CXX object 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/selectors/special_selector.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/selectors/special_selector.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/selectors/special_selector.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/special_selector.cc [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/special_selector.cc:27: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/mean_stddev_normalization.h:75:1: warning: multi-line comment [-Wcomment] 75 | // / \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/mean_stddev_normalization.h:79:1: warning: multi-line comment [-Wcomment] 79 | // / \ | ^ [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u72.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-u80.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/special_selector.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/special_selector.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u24.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/subgraph.cc: In function ‘std::unique_ptr* tflite::gpu::InitSingleOpSubgraph(const std::vector&, const std::vector&, GPUOperationsSubgraph*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/subgraph.cc:51:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 51 | for (int i = 0; i < inputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/subgraph.cc:54:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 54 | for (int i = 0; i < outputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u40.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/subgraph.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/subgraph.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u64.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u72.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-u80.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/default/convolution_selector.cc:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u24.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/default/convolution_transposed_selector.cc:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 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-Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u56.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u64.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u72.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/default/default_selector.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u16.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u24.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/depthwise_conv.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/default/dw_convolution_selector.cc:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u56.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u64.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u72.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/default/fully_connected_selector.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 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-DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc: In function ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::ConvertToPHWO4I4(absl::lts_20240722::Span, const tflite::gpu::OHWI&, absl::lts_20240722::Span, bool)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc:45:17: warning: comparison of integer expressions of different signedness: ‘absl::lts_20240722::Span::size_type’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 45 | if (in.size() != shape.DimensionsProduct()) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc: In function ‘absl::lts_20240722::Status tflite::gpu::ConvertToPHWO4I4(absl::lts_20240722::Span, const IHWO&, absl::lts_20240722::Span)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc:124:17: warning: comparison of integer expressions of different signedness: ‘absl::lts_20240722::Span::size_type’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 124 | if (in.size() != shape.DimensionsProduct()) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u24.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc: In function ‘absl::lts_20240722::Status tflite::gpu::ConvertToPIOHW4(absl::lts_20240722::Span, const OHWI&, absl::lts_20240722::Span)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc:178:17: warning: comparison of integer expressions of different signedness: ‘absl::lts_20240722::Span::size_type’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 178 | if (in.size() != shape.DimensionsProduct()) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ValidateConvertToPHWC4(absl::lts_20240722::Span, const BHWC&, absl::lts_20240722::Span) [with T = float; BHWC = StrongShape]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc:236:3: required from here 236 | RETURN_IF_ERROR(ValidateConvertToPHWC4(in, shape, out)); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc:220:17: warning: comparison of integer expressions of different signedness: ‘absl::lts_20240722::Span::size_type’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 220 | if (in.size() != shape.DimensionsProduct()) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ValidateConvertToPHWC4(absl::lts_20240722::Span, const BHWC&, absl::lts_20240722::Span) [with T = short unsigned int; BHWC = StrongShape]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc:289:3: required from here 289 | RETURN_IF_ERROR(ValidateConvertToPHWC4(in, shape, out)); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc:220:17: warning: comparison of integer expressions of different signedness: ‘absl::lts_20240722::Span::size_type’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 220 | if (in.size() != shape.DimensionsProduct()) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ValidateConvertFromPHWC4(absl::lts_20240722::Span, const BHWC&, absl::lts_20240722::Span) [with T = float; BHWC = StrongShape]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc:411:3: required from here 411 | RETURN_IF_ERROR(ValidateConvertFromPHWC4(in, shape, out)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc:401:18: warning: comparison of integer expressions of different signedness: ‘absl::lts_20240722::Span::size_type’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 401 | if (out.size() != shape.DimensionsProduct()) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ValidateConvertFromPHWC4(absl::lts_20240722::Span, const BHWC&, absl::lts_20240722::Span) [with T = short unsigned int; BHWC = StrongShape]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc:459:3: required from here 459 | RETURN_IF_ERROR(ValidateConvertFromPHWC4(in, shape, out)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc:401:18: warning: comparison of integer expressions of different signedness: ‘absl::lts_20240722::Span::size_type’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 401 | if (out.size() != shape.DimensionsProduct()) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/convert.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u48.c [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u56.c [ 67%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/flops_util.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/flops_util.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/flops_util.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/flops_util.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/flops_util.cc [ 67%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj-u64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/flops_util.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/flops_util.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/gpu_info.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-gather-div-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-gather-div-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-gather-div-u56.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:29: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.h: In member function ‘void tflite::gpu::SharedWeightsConvDesc::RemapIds(const absl::lts_20240722::flat_hash_map&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/operation_selector.h:43:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 43 | for (int i = 0; i < global_const_ids.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc: In function ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::MergeGpuNodes(const tflite::gpu::GpuInfo&, tflite::gpu::GpuNode*, tflite::gpu::GpuNode*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:53:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 53 | for (int j = 1; j < src->inputs.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc: In function ‘flatbuffers::Offset tflite::gpu::{anonymous}::Encode(const tflite::gpu::GpuNode&, flatbuffers::FlatBufferBuilder*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:75:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 75 | for (int i = 0; i < in_ids.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:79:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 79 | for (int i = 0; i < out_ids.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc: In function ‘bool tflite::gpu::{anonymous}::IsAssociativeLinkableOp(const tflite::gpu::Node&, const std::vector&, const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:120:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < inputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc: In function ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::ConvertOperations(const tflite::gpu::GpuInfo&, const tflite::gpu::GraphFloat32&, const tflite::gpu::CreateGpuModelInfo&, TensorReserver*, tflite::gpu::GpuModel*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:287:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 287 | for (int i = 0; i < graph_nodes.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:319:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 319 | for (int j = 1; j < inputs.size(); ++j) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:330:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 330 | for (int j = 0; j < inputs.size(); ++j) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:333:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 333 | for (int j = 0; j < outputs.size(); ++j) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:341:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 341 | for (int j = 0; j < gpu_subgraph.new_tensors.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:360:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int j = 0; j < gpu_op.input_ids.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:369:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 369 | for (int j = 0; j < gpu_op.output_ids.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc: In function ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::MergeElementwiseNodes(const tflite::gpu::GpuInfo&, tflite::gpu::GpuModel*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:389:49: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 389 | for (int elem_root_index = 1; elem_root_index < nodes.size(); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:400:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 400 | for (int k = 0; k < elem_root.inputs.size(); ++k) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc: In function ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::MergeNodes(const tflite::gpu::GpuInfo&, tflite::gpu::GpuModel*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:675:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 675 | for (int i = 0; i < nodes.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:690:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 690 | for (int j = i + 1; j < nodes.size(); ++j) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:691:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 691 | for (int k = 0; k < nodes[j].inputs.size(); ++k) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc: In function ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::ResolvePolymorphicArgs(tflite::gpu::GpuModel*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:786:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 786 | for (int i = 0; i < node.inputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:793:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 793 | for (int i = 0; i < node.outputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc: In function ‘flatbuffers::Offset tflite::gpu::Encode(const GpuModel&, flatbuffers::FlatBufferBuilder*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:835:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 835 | for (int i = 0; i < in_ids.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:844:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 844 | for (int i = 0; i < out_ids.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:852:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 852 | for (int i = 0; i < gpu_model.nodes.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc: In function ‘absl::lts_20240722::Status tflite::gpu::Decode(const data::GpuModel*, GpuModel*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:913:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 913 | for (int i = 0; i < fb_gpu_model->input_ids()->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:917:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 917 | for (int i = 0; i < fb_gpu_model->output_ids()->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-gather-div-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-gather-div-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-gather-div-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-gather-div-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-gather-div-u64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-gather-div-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection 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-DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-gather-nr1adj-u80.c [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u8.c [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u16.c [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u24.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/lstm_parser.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/lstm_parser.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::FLOAT32>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/lstm_parser.cc:79:25: required from here 79 | reader->ReadTensor(bias_tensor_id, &(fc_attr.bias)).IgnoreError(); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::FLOAT32>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/lstm_parser.cc:86:5: required from here 86 | RETURN_IF_ERROR(reader->ReadTensor(weights_tensor_id, &weights)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/lstm_parser.h:21: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u32.c [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u40.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/status.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:32: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/lstm_parser.cc: In function ‘tflite::gpu::(anonymous namespace)::BuildLstmGate(tflite::gpu::GraphFloat32*, tflite::gpu::ObjectReader*, tflite::gpu::Value*, tflite::gpu::Value*, int, int, int, int, int, TfLiteFusedActivation, bool, bool, tflite::gpu::Value**)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/lstm_parser.cc:204:70: warning: ‘cell_state_times_weights’ may be used uninitialized [-Wmaybe-uninitialized] 204 | graph->AddConsumer(add_node->id, cell_state_times_weights->id)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/lstm_parser.cc:179:10: note: ‘cell_state_times_weights’ was declared here 179 | Value* cell_state_times_weights; | ^~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u48.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/lstm_parser.cc: In function ‘tflite::gpu::ParseLSTMAttributes(TfLiteNode const*, TfLiteRegistration const*, tflite::gpu::GraphFloat32*, tflite::gpu::ObjectReader*, TfLiteLSTMParams const*, absl::lts_20240722::flat_hash_map, std::equal_to, std::allocator > >*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/google/status_macros.h:21:16: warning: ‘new_cell_state’ may be used uninitialized [-Wmaybe-uninitialized] 21 | auto c = (s); \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/lstm_parser.cc:529:10: note: ‘new_cell_state’ was declared here 529 | Value* new_cell_state; | ^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/lstm_parser.cc:554:68: warning: ‘new_output_state’ may be used uninitialized [-Wmaybe-uninitialized] 554 | RETURN_IF_ERROR(graph->AddConsumer(node->id, new_output_state->id)); | ~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/lstm_parser.cc:544:10: note: ‘new_output_state’ was declared here 544 | Value* new_output_state; | ^~~~~~~~~~~~~~~~ [ 69%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/memory_management.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/memory_management.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/memory_management.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/memory_management.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/memory_management.cc [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u56.c.o 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-DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u64.c [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u72.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/memory_management.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/memory_management.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-div-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u24.c [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::GraphFloat32::InsertNodeAfter(tflite::gpu::NodeId, tflite::gpu::Node**)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.cc:154:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | while (idx < execution_plan_.size()) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.cc:158:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 158 | if (idx == execution_plan_.size()) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::GraphFloat32::ReplaceInput(tflite::gpu::NodeId, tflite::gpu::ValueId, tflite::gpu::ValueId)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.cc:272:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (int i = 0; i < n->inputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 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-grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/model_builder.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/model_builder.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/model_builder.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_signature_runner.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter.h:45, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter_builder.h:38, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/model.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:1441:1: warning: multi-line comment [-Wcomment] 1441 | // \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:1445:1: warning: multi-line comment [-Wcomment] 1445 | // \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:1449:1: warning: multi-line comment [-Wcomment] 1449 | // / \ | ^ [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u72.c [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-lut8-p4h3ts-perm-nr1adj-u80.c [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u8.c [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u16.c [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u24.c [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::{anonymous}::ConcatenationOperationParser::Parse(const TfLiteNode*, const TfLiteRegistration*, tflite::gpu::GraphFloat32*, tflite::gpu::ObjectReader*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:504:32: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 504 | for (uint32_t idx = 0; idx < tflite_node->inputs->size; ++idx) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:518:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 518 | for (int i = 0; i < inputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:537:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 537 | for (int i = 0; i < inputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::ConcatenationOperationParser::SetAxis(const std::vector >&, tflite::gpu::Axis*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:573:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 573 | for (int i = 1; i < input_shapes.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:582:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 582 | for (int i = 1; i < input_shapes.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:591:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 591 | for (int i = 1; i < input_shapes.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:600:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 600 | for (int i = 1; i < input_shapes.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u40.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u40.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u40.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u40.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u40.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::Conv2DOperationParser::ResolveGroupedConvolution(const tflite::gpu::Convolution2DAttributes&, const TfLiteConvParams*, tflite::gpu::ObjectReader*, tflite::gpu::GraphFloat32*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:815:40: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 815 | if (i * dst_group_size + out_i < attr.bias.data.size()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::{anonymous}::PackOperationParser::Parse(const TfLiteNode*, const TfLiteRegistration*, tflite::gpu::GraphFloat32*, tflite::gpu::ObjectReader*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:1636:34: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 1636 | for (uint32_t idx = 0; idx < tflite_node->inputs->size; ++idx) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:1658:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1658 | for (int i = 0; i < inputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::{anonymous}::SelectV2OperationParser::Parse(const TfLiteNode*, const TfLiteRegistration*, tflite::gpu::GraphFloat32*, tflite::gpu::ObjectReader*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:2179:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2179 | for (int i = 0; i < else_tensor_3d.data.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc: In function ‘TfLiteIntArray* tflite::gpu::GetOpsToReplace(TfLiteContext*, bool, int, const absl::lts_20240722::flat_hash_set*, int, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:3376:42: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3376 | partition_helper.num_total_nodes() > ops_to_replace.size()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc: In function ‘absl::lts_20240722::Status tflite::gpu::BuildModelEnforceIO(TfLiteContext*, const TfLiteDelegateParams*, const std::vector&, const std::vector&, GraphFloat32*, absl::lts_20240722::flat_hash_map*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:3529:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3529 | for (int i = 0; i < operations.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u48.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operation_parser.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/custom_parsers.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:38: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::FLOAT32>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:68:3: required from here 68 | RETURN_IF_ERROR(reader->ReadTensor(weights_tensor_id, &weights)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::FLOAT32>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:75:21: required from here 75 | reader->ReadTensor(bias_tensor_id, &attr->bias).IgnoreError(); // optional | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::FLOAT32>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:511:9: required from here 511 | RETURN_IF_ERROR(reader->ReadTensor(idx, &tensor)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::FLOAT32>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:723:7: required from here 723 | RETURN_IF_ERROR(reader->ReadTensor(1, &attr->weights)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::INT32>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:1409:7: required from here 1409 | RETURN_IF_ERROR(reader->ReadTensor(1, &attr.indices)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::FLOAT32>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:1717:7: required from here 1717 | RETURN_IF_ERROR(reader->ReadTensor(1, &hwc_alpha)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::INT32>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:1758:5: required from here 1758 | RETURN_IF_ERROR(reader->ReadTensor(1, &paddings)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::FLOAT32>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:2164:7: required from here 2164 | RETURN_IF_ERROR(reader->ReadTensor(1, &if_scalar_tensor)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u56.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u56.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.h:27: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::BOOL>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:155:7: required from ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::ParseInputsWithConstTensorImpl(tflite::gpu::Node*, tflite::gpu::ObjectReader*, tflite::gpu::TensorOrScalarBase*) [with tflite::gpu::DataType DataTypeT = tflite::gpu::DataType::BOOL; T = bool; tflite::gpu::TensorOrScalarBase = std::variant, tflite::gpu::DataType::BOOL>, tflite::gpu::Tensor, tflite::gpu::DataType::BOOL>, bool>]’ 155 | RETURN_IF_ERROR(reader->ReadTensor(constant_tensor, &tensor)); /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:191:7: required from here 192 | ParseInputsWithConstTensorImpl(node, reader, &attr.param)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::BOOL>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:160:9: required from ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::ParseInputsWithConstTensorImpl(tflite::gpu::Node*, tflite::gpu::ObjectReader*, tflite::gpu::TensorOrScalarBase*) [with tflite::gpu::DataType DataTypeT = tflite::gpu::DataType::BOOL; T = bool; tflite::gpu::TensorOrScalarBase = std::variant, tflite::gpu::DataType::BOOL>, tflite::gpu::Tensor, tflite::gpu::DataType::BOOL>, bool>]’ 160 | RETURN_IF_ERROR(reader->ReadTensor(constant_tensor, &tensor)); /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:191:7: required from here 192 | ParseInputsWithConstTensorImpl(node, reader, &attr.param)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::BOOL>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:164:9: required from ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::ParseInputsWithConstTensorImpl(tflite::gpu::Node*, tflite::gpu::ObjectReader*, tflite::gpu::TensorOrScalarBase*) [with tflite::gpu::DataType DataTypeT = tflite::gpu::DataType::BOOL; T = bool; tflite::gpu::TensorOrScalarBase = std::variant, tflite::gpu::DataType::BOOL>, tflite::gpu::Tensor, tflite::gpu::DataType::BOOL>, bool>]’ 164 | RETURN_IF_ERROR(reader->ReadTensor(constant_tensor, &tensor_hw)); /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:191:7: required from here 192 | ParseInputsWithConstTensorImpl(node, reader, &attr.param)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::BOOL>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:172:9: required from ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::ParseInputsWithConstTensorImpl(tflite::gpu::Node*, tflite::gpu::ObjectReader*, tflite::gpu::TensorOrScalarBase*) [with tflite::gpu::DataType DataTypeT = tflite::gpu::DataType::BOOL; T = bool; tflite::gpu::TensorOrScalarBase = std::variant, tflite::gpu::DataType::BOOL>, tflite::gpu::Tensor, tflite::gpu::DataType::BOOL>, bool>]’ 172 | RETURN_IF_ERROR(reader->ReadTensor(constant_tensor, &tensor)); /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:191:7: required from here 192 | ParseInputsWithConstTensorImpl(node, reader, &attr.param)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::INT32>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:155:7: required from ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::ParseInputsWithConstTensorImpl(tflite::gpu::Node*, tflite::gpu::ObjectReader*, tflite::gpu::TensorOrScalarBase*) [with tflite::gpu::DataType DataTypeT = tflite::gpu::DataType::INT32; T = int; tflite::gpu::TensorOrScalarBase = std::variant, tflite::gpu::DataType::INT32>, tflite::gpu::Tensor, tflite::gpu::DataType::INT32>, int>]’ 155 | RETURN_IF_ERROR(reader->ReadTensor(constant_tensor, &tensor)); /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:200:7: required from here 201 | ParseInputsWithConstTensorImpl(node, reader, &attr.param)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadTensor(uint32_t, TensorT*) const [with TensorT = tflite::gpu::Tensor, tflite::gpu::DataType::INT32>; uint32_t = unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:172:9: required from ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::ParseInputsWithConstTensorImpl(tflite::gpu::Node*, tflite::gpu::ObjectReader*, tflite::gpu::TensorOrScalarBase*) [with tflite::gpu::DataType DataTypeT = tflite::gpu::DataType::INT32; T = int; tflite::gpu::TensorOrScalarBase = std::variant, tflite::gpu::DataType::INT32>, tflite::gpu::Tensor, tflite::gpu::DataType::INT32>, int>]’ 172 | RETURN_IF_ERROR(reader->ReadTensor(constant_tensor, &tensor)); /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:200:7: required from here 201 | ParseInputsWithConstTensorImpl(node, reader, &attr.param)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:66:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 66 | if (index < 0 || index >= node_->inputs->size) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u64.c [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u72.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:26: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder_helper.h: In function ‘absl::lts_20240722::Status tflite::gpu::CreateVectorCopyData(const TfLiteTensor&, T*) [with T = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder_helper.h:189:1: warning: control reaches end of non-void function [-Wreturn-type] 189 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc: In member function ‘virtual absl::lts_20240722::Status tflite::gpu::{anonymous}::LSTMOperationParser::Parse(const TfLiteNode*, const TfLiteRegistration*, tflite::gpu::GraphFloat32*, tflite::gpu::ObjectReader*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder.cc:1481:3: warning: control reaches end of non-void function [-Wreturn-type] 1481 | } | ^ [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-div-u80.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder_helper.h: In function ‘absl::lts_20240722::Status tflite::gpu::CreateVectorCopyData(const TfLiteTensor&, T*) [with T = unsigned char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder_helper.h:189:1: warning: control reaches end of non-void function [-Wreturn-type] 189 | } | ^ [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1-u8.c [ 69%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1-u16.c [ 69%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1-u56.c [ 69%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u56.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u56.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u56.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u56.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u64.c [ 70%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/model_builder_helper.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/model_builder_helper.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/model_builder_helper.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/model_builder_helper.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder_helper.cc [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u72.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u72.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u72.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u72.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u72.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx2-expm1minus-rr1-p6h5ts-nr1adj-u80.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder_helper.h:28, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_builder_helper.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-expm1minus-avx2-rr1-p2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-expm1minus-avx2-rr1-p2.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f16-expm1minus-avx2-rr1-p2.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f16-expm1minus-avx2-rr1-p2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f16-expm1minus-avx2-rr1-p2.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-expm1minus-avx2-rr1-p3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-expm1minus-avx2-rr1-p3.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f16-expm1minus-avx2-rr1-p3.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f16-expm1minus-avx2-rr1-p3.c.o -c 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-expminus-avx2-rr1-p2.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f16-expminus-avx2-rr1-p2.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f16-expminus-avx2-rr1-p2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f16-expminus-avx2-rr1-p2.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-expminus-avx2-rr1-p3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-expminus-avx2-rr1-p3.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f16-expminus-avx2-rr1-p3.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f16-expminus-avx2-rr1-p3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f16-expminus-avx2-rr1-p3.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-sigmoid-avx2-rr1-p2-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-sigmoid-avx2-rr1-p2-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f16-sigmoid-avx2-rr1-p2-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f16-sigmoid-avx2-rr1-p2-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f16-sigmoid-avx2-rr1-p2-div.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.cc: In member function ‘bool tflite::gpu::ModelTransformer::ApplyStartingWithNode(const std::string&, tflite::gpu::SequenceTransformation*, tflite::gpu::Node*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.cc:91:25: warning: comparison of integer expressions of different signedness: ‘std::deque::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 91 | if (sequence.size() == expected_sequence_length) { | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.cc:177:25: warning: comparison of integer expressions of different signedness: ‘std::deque::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 177 | if (sequence.size() > expected_sequence_length) { | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-sigmoid-avx2-rr1-p2-rcp.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-sigmoid-avx2-rr1-p2-rcp.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f16-sigmoid-avx2-rr1-p2-rcp.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f16-sigmoid-avx2-rr1-p2-rcp.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f16-sigmoid-avx2-rr1-p2-rcp.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f16-sigmoid-avx2-rr1-p3-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx2-rr2-lut8-p4-perm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-exp-avx2-rr2-lut8-p4-perm.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx2-rr2-p5.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx2-rr2-p5.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx2-rr2-p5.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx2-rr2-p5.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-exp-avx2-rr2-p5.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::ReadValue(uint32_t, tflite::gpu::Value**)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.cc:105:11: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 105 | if (idx >= node_->inputs->size) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::GetTensorId(uint32_t, int*) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.cc:126:16: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 126 | if (input_id >= node_->inputs->size) { | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.cc:131:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 131 | if (*tensor_id < 0 || *tensor_id > context_->tensors_size) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::GetTensorDims(uint32_t, TfLiteIntArray*) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.cc:139:11: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 139 | if (idx >= node_->inputs->size) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.cc:143:36: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 143 | if (tensor_idx < 0 || tensor_idx > context_->tensors_size) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::ObjectReader::AddUpdate(const tflite::gpu::Node*, uint32_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.cc:178:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 178 | if (node_->inputs->size <= idx) { | ~~~~~~~~~~~~~~~~~~~~^~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/object_reader.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-expm1minus-avx2-rr1-lut4-p4-perm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 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CMakeFiles/microkernels-all.dir/src/math/f32-expm1minus-avx2-rr1-lut4-p4-perm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-expm1minus-avx2-rr1-lut4-p4-perm.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-expm1minus-avx2-rr1-lut8-p4-perm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-expm1minus-avx2-rr1-lut8-p4-perm.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-expm1minus-avx2-rr1-lut8-p4-perm.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-expm1minus-avx2-rr1-lut8-p4-perm.c.o -c 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CMakeFiles/microkernels-all.dir/src/math/f32-expm1minus-avx2-rr1-p6.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-expm1minus-avx2-rr1-p6.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-expminus-avx2-rr1-p5.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-expminus-avx2-rr1-p5.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-expminus-avx2-rr1-p5.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-expminus-avx2-rr1-p5.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-expminus-avx2-rr1-p5.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-expminus-avx2-rr2-p5.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-expminus-avx2-rr2-p5.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-expminus-avx2-rr2-p5.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-expminus-avx2-rr2-p5.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-expminus-avx2-rr2-p5.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-extexp-avx2-p5.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-extexp-avx2-p5.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-extexp-avx2-p5.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-extexp-avx2-p5.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-extexp-avx2-p5.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operation_parser.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operation_parser.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-lut64-p2-gather-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 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-DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-lut64-p2-gather-nr2fma1adj.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-lut64-p2-gather-nr2fma1adj.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-lut64-p2-gather-nr2fma1adj.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx2-rr1-lut64-p2-gather-nr2fma1adj.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-lut64-p2-gather-nr2fma.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-lut64-p2-gather-nr2fma.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-lut64-p2-gather-nr2fma.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-lut64-p2-gather-nr2fma.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx2-rr1-lut64-p2-gather-nr2fma.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc: In function ‘absl::lts_20240722::Status tflite::gpu::CalculateOutputShape(const std::vector >&, const ConcatAttributes&, BHWC*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc:654:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 654 | for (int i = 1; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc:665:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 665 | for (int i = 1; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc:676:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 676 | for (int i = 1; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc:687:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 687 | for (int i = 1; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc: In function ‘absl::lts_20240722::Status tflite::gpu::CalculateOutputShape(const std::vector >&, const ConcatAttributes&, BHWDC*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc:711:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 711 | for (int i = 1; i < input.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc:723:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 723 | for (int i = 1; i < input.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc:735:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 735 | for (int i = 1; i < input.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc:747:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 747 | for (int i = 1; i < input.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc:759:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 759 | for (int i = 1; i < input.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc: In function ‘tflite::gpu::FullyConnectedAttributes tflite::gpu::DequatizeFullyConnectedAttr(const FullyConnectedInt8Attributes&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc:872:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 872 | for (int i = 0; i < attr.weights.data.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc: In function ‘std::string tflite::gpu::ToString(OperationType)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.cc:225:1: warning: control reaches end of non-void function [-Wreturn-type] 225 | } | ^ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-p5-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-p5-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-p5-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-p5-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx2-rr1-p5-div.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-p5-nr1fma.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-p5-nr1fma.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-p5-nr1fma.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-p5-nr1fma.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx2-rr1-p5-nr1fma.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-p5-nr2fma.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-p5-nr2fma.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-p5-nr2fma.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr1-p5-nr2fma.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx2-rr1-p5-nr2fma.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr2-lut64-p2-gather-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr2-lut64-p2-gather-nr1fma.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr2-lut64-p2-gather-nr1fma.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr2-lut64-p2-gather-nr1fma.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx2-rr2-lut64-p2-gather-nr1fma.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/precision.cc: In function ‘std::string tflite::gpu::ToString(CalculationsPrecision)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/precision.cc:32:1: warning: control reaches end of non-void function [-Wreturn-type] 32 | } | ^ [ 70%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/quantization_util.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx2-rr2-lut64-p2-gather-nr2fma.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr2-p5-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr2-p5-nr1fma.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr2-p5-nr1fma.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr2-p5-nr1fma.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr2-p5-nr1fma.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx2-rr2-p5-nr1fma.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr2-p5-nr2fma.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr2-p5-nr2fma.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr2-p5-nr2fma.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx2-rr2-p5-nr2fma.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx2-rr2-p5-nr2fma.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/quantization_util.cc:25: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f16-tanh-avx2-expm1minus-rr1-p3h2ts-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f16-tanh-avx2-expm1minus-rr1-p3h2ts-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f16-tanh-avx2-expm1minus-rr1-p3h2ts-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f16-tanh-avx2-expm1minus-rr1-p3h2ts-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f16-tanh-avx2-expm1minus-rr1-p3h2ts-div.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f16-tanh-avx2-expm1minus-rr1-p3h2ts-rcp.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f16-tanh-avx2-expm1minus-rr1-p3h2ts-rcp.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f16-tanh-avx2-expm1minus-rr1-p3h2ts-rcp.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f16-tanh-avx2-expm1minus-rr1-p3h2ts-rcp.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f16-tanh-avx2-expm1minus-rr1-p3h2ts-rcp.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-div.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-div.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-nr1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-nr1.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-nr1.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-nr1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-nr1.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-nr1adj.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-nr1adj.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-nr1adj.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-nr1adj.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-gather-nr1adj.c [ 70%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/shape.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/shape.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/shape.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/shape.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.cc [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-div.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-nr1.c.o /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-nr1.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-nr1.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-nr1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-nr1.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In function ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = {anonymous}::GetAxisByIndexFunc]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:630:1: warning: control reaches end of non-void function [-Wreturn-type] 630 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In function ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = {anonymous}::GetIndexByAxisFunc]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:630:1: warning: control reaches end of non-void function [-Wreturn-type] /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In function ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = {anonymous}::NumAxisFunc]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:630:1: warning: control reaches end of non-void function [-Wreturn-type] [ 70%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/winograd_util.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-nr1adj.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-nr1adj.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-nr1adj.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-nr1adj.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx2-expm1minus-rr1-lut8-p4h3ps-perm-nr1adj.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-div.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-nr1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-nr1.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-nr1.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-nr1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-nr1.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/winograd_util.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/winograd_util.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-nr1adj.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-nr1adj.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-nr1adj.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-nr1adj.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx2-expm1minus-rr1-p6h5ts-nr1adj.c [ 70%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/workgroup_selection.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/workgroup_selection.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/workgroup_selection.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/workgroup_selection.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc: In instantiation of ‘std::vector tflite::gpu::GenerateWorkGroupSizes(const T&, int, int, const T&, WorkGroupSizeAlignment, WorkGroupSizeAlignment, WorkGroupSizeAlignment) [with T = Vec3]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc:188:39: required from here 188 | WorkGroupSizeAlignment z_alignment); | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc:159:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 159 | if (x > max_work_group_sizes.x) continue; | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc:161:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 161 | if (y > max_work_group_sizes.y) continue; | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc:163:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 163 | if (z > max_work_group_sizes.z) continue; | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc: In instantiation of ‘void tflite::gpu::{anonymous}::AddCornerCases(const T&, int, const T&, tflite::gpu::WorkGroupSizeAlignment, tflite::gpu::WorkGroupSizeAlignment, tflite::gpu::WorkGroupSizeAlignment, std::vector*) [with T = tflite::gpu::Vec3]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc:201:19: required from ‘void tflite::gpu::GenerateWorkGroupSizesAlignedToGrid(const T&, const T&, int, std::vector*) [with T = Vec3]’ 201 | AddCornerCases(grid, max_work_group_total_size, max_work_group_size, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 202 | alignment, alignment, alignment, work_groups); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc:214:73: required from here 214 | const int max_work_group_total_size, std::vector* work_groups); | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc:44:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 44 | if (wg_x > max_work_group_sizes.x || wg_y > max_work_group_sizes.y || | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc:44:51: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 44 | if (wg_x > max_work_group_sizes.x || wg_y > max_work_group_sizes.y || | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc:45:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 45 | wg_z > max_work_group_sizes.z || | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc:70:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 70 | if (x > max_work_group_sizes.x || y > max_work_group_sizes.y || | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc:70:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 70 | if (x > max_work_group_sizes.x || y > max_work_group_sizes.y || | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/workgroup_selection.cc:71:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 71 | z > max_work_group_sizes.z || | ~~^~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-1x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/task/arguments.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/task/arguments.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/task/arguments.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/arguments.cc [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx2.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_2x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx2.c:71:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ 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-DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx2.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_3x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx2.c:77:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx2.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx2.c:82:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx2.c:245:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 245 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_4x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c:83:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c:88:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c:93:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c:282:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 282 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c:284:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avx2.c [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx2.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_2x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx2.c:70:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 70 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx2.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx2.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_3x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx2.c:76:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 76 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx2.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx2.c:81:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx2.c:147:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 147 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_4x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c:82:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c:87:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c:92:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c:169:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 169 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c:171:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 171 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx2.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx2.c:71:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx2.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/task/gpu_operation.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/task/gpu_operation.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/task/gpu_operation.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx2.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx2.c:77:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx2.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx2.c:82:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx2.c:245:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 245 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c:83:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c:88:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c:93:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c:282:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 282 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c:284:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avx2.c [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc: In member function ‘void tflite::gpu::GPUOperation::SetSrc(tflite::gpu::GpuSpatialTensor*, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc:323:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 323 | if (index >= src_.size()) { | ~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc: In member function ‘void tflite::gpu::GPUOperation::SetDst(tflite::gpu::GpuSpatialTensor*, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc:330:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 330 | if (index >= dst_.size()) { | ~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::GPUOperation::AddOperation(const tflite::gpu::GpuInfo&, tflite::gpu::GPUOperation*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc:434:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 434 | for (int i = 0; i < operation->src_tensors_names_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc:440:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 440 | for (int i = 0; i < operation->dst_tensors_names_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc: In member function ‘void tflite::gpu::GPUOperation::GetPossibleDispatches(tflite::gpu::TuningType, const tflite::gpu::GpuInfo&, const tflite::gpu::KernelInfo&, std::vector*) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc:553:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 553 | for (int i = 0; i < work_group_sizes.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc: In function ‘tflite::gpu::GPUOperation tflite::gpu::CreateGpuOperation(const OperationDef&, ElementwiseDescriptor&&, const BHWC&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc:645:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 645 | for (int i = 1; i < definition.src_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc: In function ‘absl::lts_20240722::Status tflite::gpu::FuseElemWithElemInternal(const GpuInfo&, GPUOperation&&, GPUOperation&&, const std::vector, std::__cxx11::basic_string > >&, GPUOperation*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc:674:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 674 | for (int i = 0; i < replacements.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_tensor.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx2.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx2.c:70:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 70 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx2.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx2.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx2.c:76:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 76 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx2.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx2.c:81:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx2.c:147:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 147 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x8c8__avx2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c:82:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c:87:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c:92:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c:169:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 169 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c:171:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 171 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx2.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx2.c [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x8c8-minmax-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x8c8-minmax-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x8c8-minmax-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x8c8-minmax-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x8c8-minmax-avx2.c [ 71%] Building C object 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-DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c8s8r-minmax-fp32-avx2-mul32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_tensor.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc: In function ‘tflite::gpu::AccessType tflite::gpu::{anonymous}::ToEnum(tflite::gpu::data::AccessType)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc:170:1: warning: control reaches end of non-void function [-Wreturn-type] 170 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc: In function ‘tflite::gpu::data::DataType tflite::gpu::{anonymous}::ToFB(tflite::gpu::DataType)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc:79:1: warning: control reaches end of non-void function [-Wreturn-type] 79 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc: In function ‘tflite::gpu::data::MemoryType tflite::gpu::{anonymous}::ToFB(tflite::gpu::MemoryType)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc:90:1: warning: control reaches end of non-void function [-Wreturn-type] 90 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc: In function ‘tflite::gpu::DataType tflite::gpu::{anonymous}::ToEnum(tflite::gpu::data::DataType)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc:159:1: warning: control reaches end of non-void function [-Wreturn-type] 159 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc: In function ‘tflite::gpu::MemoryType tflite::gpu::{anonymous}::ToEnum(tflite::gpu::data::MemoryType)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc:181:1: warning: control reaches end of non-void function [-Wreturn-type] 181 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc: In function ‘tflite::gpu::data::TensorStorageType tflite::gpu::{anonymous}::ToFB(tflite::gpu::TensorStorageType)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc:109:1: warning: control reaches end of non-void function [-Wreturn-type] 109 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc: In function ‘tflite::gpu::TensorStorageType tflite::gpu::{anonymous}::ToEnum(tflite::gpu::data::TensorStorageType)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc:200:1: warning: control reaches end of non-void function [-Wreturn-type] 200 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc: In function ‘tflite::gpu::data::CalculationsPrecision tflite::gpu::{anonymous}::ToFB(tflite::gpu::CalculationsPrecision)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc:230:1: warning: control reaches end of non-void function [-Wreturn-type] 230 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc: In function ‘tflite::gpu::CalculationsPrecision tflite::gpu::{anonymous}::ToEnum(tflite::gpu::data::CalculationsPrecision)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc:273:1: warning: control reaches end of non-void function [-Wreturn-type] 273 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc: In function ‘tflite::gpu::TensorToGrid tflite::gpu::{anonymous}::ToEnum(tflite::gpu::data::TensorToGrid)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc:288:1: warning: control reaches end of non-void function [-Wreturn-type] 288 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc: In function ‘tflite::gpu::data::TensorToGrid tflite::gpu::{anonymous}::ToFB(tflite::gpu::TensorToGrid)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc:245:1: warning: control reaches end of non-void function [-Wreturn-type] 245 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc: At global scope: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc:290:17: warning: ‘tflite::gpu::CompilerOptions tflite::gpu::{anonymous}::ToEnum(tflite::gpu::data::CompilerOptions)’ defined but not used [-Wunused-function] 290 | CompilerOptions ToEnum(data::CompilerOptions type) { | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/serialization_base.cc:247:23: warning: ‘tflite::gpu::data::CompilerOptions tflite::gpu::{anonymous}::ToFB(tflite::gpu::CompilerOptions)’ defined but not used [-Wunused-function] 247 | data::CompilerOptions ToFB(CompilerOptions type) { | ^~~~ [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c16s16r-minmax-fp32-avx2-mul16-add16-vpunpck.c.o 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c8s8r-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c8s8r-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c8s8r-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l8c8s8r-minmax-fp32-avx2-mul32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In member function ‘uint64_t tflite::gpu::TensorDescriptor::GetMemorySizeInBytes() const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:274:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | for (int i = 0; i < storage_dims.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::TensorDescriptor::PerformReadPerChannelSelector(const tflite::gpu::GpuInfo&, const std::vector >&, const std::vector >&, std::string*) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:632:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 632 | if (channels_index >= coord_args.size()) { | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In member function ‘bool tflite::gpu::TensorDescriptor::ParseCoordsFromArgs(const std::vector >&, int, std::string*, std::string*, std::string*, std::string*, std::string*) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1273:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1273 | if (offset >= args.size()) return false; | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1277:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1277 | if (offset >= args.size()) return false; | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1281:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1281 | if (offset >= args.size()) return false; | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1285:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1285 | if (offset >= args.size()) return false; | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1289:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1289 | if (offset >= args.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::TensorDescriptor::CanCreateTensorWithShape(const tflite::gpu::GpuInfo&, const tflite::gpu::BHWDC&) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1452:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1452 | if (image_width > gpu_info.GetMaxImage3DWidth()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1457:31: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1457 | } else if (image_height > gpu_info.GetMaxImage3DHeight()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1462:30: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1462 | } else if (image_depth > gpu_info.GetMaxImage3DDepth()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1482:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1482 | if (image_width > gpu_info.GetMaxImage2DWidth()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1487:31: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1487 | } else if (image_height > gpu_info.GetMaxImage2DHeight()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1492:31: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1492 | } else if (image_layers > gpu_info.GetMaxImage2DArrayLayers()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1504:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1504 | if (image_width > gpu_info.GetMaxImage2DWidth()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1509:31: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1509 | } else if (image_height > gpu_info.GetMaxImage2DHeight()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1527:30: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1527 | } else if (image_width > gpu_info.GetMaxImage2DWidth()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1532:31: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1532 | } else if (image_height > gpu_info.GetMaxImage2DHeight()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c8s8r-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c8s8r-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c8s8r-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c8s8r-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c8s8r-minmax-fp32-avx2-mul32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In function ‘std::string tflite::gpu::ToString(TensorStorageType)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:136:1: warning: control reaches end of non-void function [-Wreturn-type] 136 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In member function ‘std::vector tflite::gpu::TensorDescriptor::GetStorageDims() const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:229:1: warning: control reaches end of non-void function [-Wreturn-type] 229 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In member function ‘tflite::gpu::int3 tflite::gpu::TensorDescriptor::GetFullTensorRegion() const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:270:1: warning: control reaches end of non-void function [-Wreturn-type] 270 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In member function ‘std::string tflite::gpu::TensorDescriptor::Read(const tflite::gpu::GpuInfo&, tflite::gpu::DataType, const std::vector >&) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:848:1: warning: control reaches end of non-void function [-Wreturn-type] 848 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In member function ‘std::string tflite::gpu::TensorDescriptor::Write(const tflite::gpu::GpuInfo&, absl::lts_20240722::string_view, const std::vector >&) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:975:1: warning: control reaches end of non-void function [-Wreturn-type] 975 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::TensorDescriptor::PerformGetHandleSelector(const std::vector >&, std::string*) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1020:1: warning: control reaches end of non-void function [-Wreturn-type] 1020 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In member function ‘std::string tflite::gpu::TensorDescriptor::StorageTypeToAddressType() const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1036:1: warning: control reaches end of non-void function [-Wreturn-type] 1036 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In member function ‘std::string tflite::gpu::TensorDescriptor::GetGlobalAddressNoDeclaration(absl::lts_20240722::string_view, absl::lts_20240722::string_view, absl::lts_20240722::string_view, absl::lts_20240722::string_view, absl::lts_20240722::string_view) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1198:1: warning: control reaches end of non-void function [-Wreturn-type] 1198 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In member function ‘int tflite::gpu::TensorDescriptor::GetLinearIndex(const tflite::gpu::BHWDC&, int, int, int, int, int, int) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1336:1: warning: control reaches end of non-void function [-Wreturn-type] 1336 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In member function ‘bool tflite::gpu::TensorDescriptor::SupportsZeroClamp(const tflite::gpu::Axis&, const tflite::gpu::GpuInfo&) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1374:1: warning: control reaches end of non-void function [-Wreturn-type] 1374 | } | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc: In member function ‘bool tflite::gpu::TensorDescriptor::CanReadOutOfBorder(const tflite::gpu::Axis&) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.cc:1389:1: warning: control reaches end of non-void function [-Wreturn-type] 1389 | } | ^ [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c16s16r-minmax-fp32-avx2-mul16-add16-vpunpck.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c16s16r-minmax-fp32-avx2-mul16-add16-vpunpck.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c16s16r-minmax-fp32-avx2-mul16-add16-vpunpck.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c16s16r-minmax-fp32-avx2-mul16-add16-vpunpck.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c16s16r-minmax-fp32-avx2-mul16-add16-vpunpck.c [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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-DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/task/testing_util.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/task/testing_util.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/task/testing_util.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l32c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l32c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l32c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l32c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l32c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l32c16s16r-minmax-fp32-avx2-mul16-vpunpck.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l32c16s16r-minmax-fp32-avx2-mul16-vpunpck.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l32c16s16r-minmax-fp32-avx2-mul16-vpunpck.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l32c16s16r-minmax-fp32-avx2-mul16-vpunpck.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l32c16s16r-minmax-fp32-avx2-mul16-vpunpck.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::TestExecutionEnvironment::ExecuteGPUOperation(const std::vector&, const std::vector&, std::unique_ptr&&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:32:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 32 | for (int i = 0; i < src_cpu.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:40:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 40 | for (int i = 0; i < dst_cpu.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc: In member function ‘absl::lts_20240722::Status tflite::gpu::TestExecutionEnvironment::ExecuteGPUOperation(const std::vector, tflite::gpu::DataType::FLOAT32> >&, std::unique_ptr&&, const std::vector >&, const std::vector, tflite::gpu::DataType::FLOAT32>*>&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:102:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, tflite::gpu::DataType::FLOAT32> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | for (int i = 0; i < src_cpu.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:109:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, tflite::gpu::DataType::FLOAT32>*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 109 | for (int i = 0; i < dst_cpu.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:118:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, tflite::gpu::DataType::FLOAT32>*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 118 | for (int i = 0; i < dst_cpu.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc: In function ‘absl::lts_20240722::Status tflite::gpu::PointWiseNear(const std::vector&, const std::vector&, float)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:131:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 131 | for (int i = 0; i < ref.size(); ++i) { | ~~^~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::TestExecutionEnvironment::ExecuteGPUOperation(const std::vector, tflite::gpu::DataType::FLOAT32> >&, std::unique_ptr&&, const std::vector >&, const std::vector&) [with DstTensorType = tflite::gpu::Tensor, tflite::gpu::DataType::FLOAT32>]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.h:67:31: required from here 67 | return ExecuteGPUOperation(src_cpu, std::move(operation), dst_sizes, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 68 | std::vector(dst_cpu)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:60:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, tflite::gpu::DataType::FLOAT32> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (int i = 0; i < src_cpu.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:67:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, tflite::gpu::DataType::FLOAT32>*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 67 | for (int i = 0; i < dst_cpu.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:76:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, tflite::gpu::DataType::FLOAT32>*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 76 | for (int i = 0; i < dst_cpu.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::TestExecutionEnvironment::ExecuteGPUOperation(const std::vector, tflite::gpu::DataType::FLOAT32> >&, std::unique_ptr&&, const std::vector >&, const std::vector&) [with DstTensorType = tflite::gpu::Tensor, tflite::gpu::DataType::INT32>]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:92:45: required from here 92 | const std::vector& dst_cpu); | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:60:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, tflite::gpu::DataType::FLOAT32> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (int i = 0; i < src_cpu.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:67:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, tflite::gpu::DataType::INT32>*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 67 | for (int i = 0; i < dst_cpu.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:76:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, tflite::gpu::DataType::INT32>*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 76 | for (int i = 0; i < dst_cpu.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::TestExecutionEnvironment::ExecuteGpuModel(const std::vector, tflite::gpu::DataType::FLOAT32> >&, const std::vector&, tflite::gpu::GpuModel*) [with DstTensorType = tflite::gpu::Tensor, tflite::gpu::DataType::FLOAT32>]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:176:24: required from here 176 | GpuModel* gpu_model); | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:146:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 146 | for (int i = 0; i < gpu_model->input_ids_and_refs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:151:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 151 | for (int k = 0; k < gpu_model->nodes.size(); ++k) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:154:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (int i = 0; i < gpu_node.inputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:159:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 159 | for (int i = 0; i < gpu_node.outputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:166:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 166 | for (int i = 0; i < gpu_model->output_ids_and_refs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc: In instantiation of ‘absl::lts_20240722::Status tflite::gpu::TestExecutionEnvironment::ExecuteGpuModel(const std::vector, tflite::gpu::DataType::FLOAT32> >&, const std::vector&, tflite::gpu::GpuModel*) [with DstTensorType = tflite::gpu::Tensor, tflite::gpu::DataType::INT32>]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:181:24: required from here 181 | GpuModel* gpu_model); | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:146:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 146 | for (int i = 0; i < gpu_model->input_ids_and_refs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:151:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 151 | for (int k = 0; k < gpu_model->nodes.size(); ++k) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:154:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (int i = 0; i < gpu_node.inputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:159:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 159 | for (int i = 0; i < gpu_node.outputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:166:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 166 | for (int i = 0; i < gpu_model->output_ids_and_refs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/gpu_model.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/testing_util.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection 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71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx2-mul32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/weights_conversion.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/weights_conversion.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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/usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/add.cc: In function ‘tflite::gpu::GPUOperation tflite::gpu::{anonymous}::CreateUnequalAdd(const tflite::gpu::OperationDef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/add.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 0; i < op_def.src_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/add.cc:43:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 43 | for (int i = 0; i < op_def.src_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/add.cc:55:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 55 | for (int i = 0; i < op_def.src_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/add.cc: In function ‘tflite::gpu::GPUOperation tflite::gpu::CreateAdd(const OperationDef&, const std::vector&, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/add.cc:75:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 75 | for (int i = 1; i < definition.src_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/add.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/add.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f16-vcvt/gen/qs8-f16-vcvt-avx2-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-f16-vcvt/gen/qs8-f16-vcvt-avx2-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-f16-vcvt/gen/qs8-f16-vcvt-avx2-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-f16-vcvt/gen/qs8-f16-vcvt-avx2-u64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_tensor.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/cast.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/cast.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC 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-DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp 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-DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/concat_xy.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/concat_xy.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/concat_xy.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_xy.cc [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-u24.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-u32.c.o -MF 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-DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-3p16c-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-3p16c-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-3p16c-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-3p16c-minmax-fp32-avx2-mul32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_xy.cc: In function ‘std::string tflite::gpu::{anonymous}::GetConcatKernelCode(const tflite::gpu::OperationDef&, const tflite::gpu::ConcatAttributes&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_xy.cc:32:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 32 | for (int i = 0; i < op_def.src_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_xy.cc:62:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 62 | for (int i = 1; i < src_coords.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_xy.cc:66:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 66 | for (int i = 1; i < dst_coords.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_xy.cc:93:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 93 | for (int i = 0; i < op_def.src_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_xy.cc: In function ‘tflite::gpu::GPUOperation tflite::gpu::CreateConcatXY(const OperationDef&, const ConcatAttributes&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_xy.cc:117:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 117 | for (int i = 0; i < definition.src_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_xy.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_xy.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l8c8s8r-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 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CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l16c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l16c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l16c16s16r-minmax-fp32-avx2-mul16-vpunpck.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l16c16s16r-minmax-fp32-avx2-mul16-vpunpck.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l16c16s16r-minmax-fp32-avx2-mul16-vpunpck.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l16c16s16r-minmax-fp32-avx2-mul16-vpunpck.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l16c16s16r-minmax-fp32-avx2-mul16-vpunpck.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c8s8r-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c8s8r-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c8s8r-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c8s8r-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c8s8r-minmax-fp32-avx2-mul32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_z.cc: In function ‘std::string tflite::gpu::{anonymous}::GetConcatKernelCode(const tflite::gpu::OperationDef&, const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_z.cc:41:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 41 | for (int i = 0; i < op_def.src_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_z.cc:52:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (int i = 0; i < op_def.src_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_z.cc:73:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 73 | for (int i = 0; i < channels.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_z.cc:103:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (int i = 0; i < channels.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_z.cc: In function ‘tflite::gpu::GPUOperation tflite::gpu::CreateConcatZ(const OperationDef&, const std::vector&, const GpuInfo&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_z.cc:140:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 140 | for (int i = 0; i < definition.src_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_tensor.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_z.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/concat_z.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c16s16r-minmax-fp32-avx2-mul16-add16-vpunpck.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c16s16r-minmax-fp32-avx2-mul16-add16-vpunpck.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c.o.d -o 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-DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src 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-fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/conv_constants.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/conv_constants.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/conv_constants.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_constants.cc [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l8c8s8r-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l8c8s8r-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l8c8s8r-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l8c8s8r-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l8c8s8r-minmax-fp32-avx2-mul32.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c8s8r-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c8s8r-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c8s8r-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c8s8r-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c8s8r-minmax-fp32-avx2-mul32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_constants.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_constants.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s16r-minmax-fp32-avx2-mul16-add16-vpunpck.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s16r-minmax-fp32-avx2-mul16-add16-vpunpck.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s16r-minmax-fp32-avx2-mul16-add16-vpunpck.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s16r-minmax-fp32-avx2-mul16-add16-vpunpck.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s16r-minmax-fp32-avx2-mul16-add16-vpunpck.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s16r-minmax-fp32-avx2-mul16-vpmovsx.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s16r-minmax-fp32-avx2-mul16-vpunpck.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l32c16s16r-minmax-fp32-avx2-mul16-vpunpck.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l32c16s16r-minmax-fp32-avx2-mul16-vpunpck.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l32c16s16r-minmax-fp32-avx2-mul16-vpunpck.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l32c16s16r-minmax-fp32-avx2-mul16-vpunpck.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_generic.cc: In lambda function: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_generic.cc:412:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 412 | for (int i = 0; i < axes.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_generic.cc: In lambda function: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_generic.cc:1100:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1100 | for (int i = 0; i < axes.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_generic.cc: In function ‘tflite::gpu::ConvGeneric::ConvParams tflite::gpu::GetConvParamsForA7A8(const AppleInfo&, bool, bool, int, const BHWC&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_generic.cc:1329:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1329 | for (int i = 1; i < options.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_generic.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_generic.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-8f8m9l8c8s8r-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp 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-DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/conv_metal_simd.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/conv_metal_simd.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/conv_metal_simd.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_metal_simd.cc [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_metal_simd.cc: In function ‘std::vector tflite::gpu::{anonymous}::ReorderWeightsForConv(const tflite::gpu::Tensor, tflite::gpu::DataType::FLOAT32>&, const tflite::gpu::DataType&, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_metal_simd.cc:385:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 385 | for (int i = 0; i < weights_gpu.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_metal_simd.cc:390:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 390 | for (int i = 0; i < weights_gpu.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_metal_simd.cc: In function ‘tflite::gpu::int2 tflite::gpu::{anonymous}::GetOptimalGroupSize(const tflite::gpu::BHWC&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_metal_simd.cc:429:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 429 | for (int i = 1; i < base_work_groups.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_metal_simd.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_metal_simd.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p16c-minmax-fp32-avx2-mul32.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 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-fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/conv_weights_converter.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/conv_weights_converter.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/conv_weights_converter.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_weights_converter.cc [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_weights_converter.cc: In member function ‘std::string tflite::gpu::ConverterToConvWeights::GetConverterToConvWeightsCode()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_weights_converter.cc:54:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 54 | for (int i = 0; i < remap.size(); ++i) { | ~~^~~~~~~~~~~~~~ [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_tensor.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_weights_converter.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conv_weights_converter.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx2-mul32.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c [ 72%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/conversion.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/conversion.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/conversion.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/conversion.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conversion.cc [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_tensor.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conversion.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/conversion.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x8c8-minmax-fp32-avx2.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx2.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avx2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed.cc: In lambda function: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed.cc:240:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 240 | for (int i = 0; i < axes.size(); ++i) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx2.c [ 72%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection 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-DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection 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-DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-u16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_3x3.cc: In lambda function: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_3x3.cc:196:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 196 | for (int i = 0; i < axes.size(); ++i) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_3x3.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_3x3.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-u24.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-u32.c [ 73%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u8.c [ 73%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u16.c [ 73%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u24.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-u32.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx2-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx2-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx2-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx2-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vcvt/gen/qs8-vcvt-avx2-u64.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-u32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_3x3_thin.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_3x3_thin.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-u64.c.o.d -o 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l8c8s8r-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l8c8s8r-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l8c8s8r-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l8c8s8r-minmax-fp32-avx2-mul32.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l16c8s8r-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l16c8s8r-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l16c8s8r-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l16c8s8r-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l16c8s8r-minmax-fp32-avx2-mul32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_4x4.cc: In lambda function: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_4x4.cc:216:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 216 | for (int i = 0; i < axes.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l32c8s8r-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l32c8s8r-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l32c8s8r-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l32c8s8r-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-6f6m7l32c8s8r-minmax-fp32-avx2-mul32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_4x4.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_4x4.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l8c8s8r-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l8c8s8r-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l8c8s8r-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l8c8s8r-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l8c8s8r-minmax-fp32-avx2-mul32.c [ 73%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l16c8s8r-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l16c8s8r-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l16c8s8r-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l16c8s8r-minmax-fp32-avx2-mul32.c [ 73%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l32c8s8r-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l32c8s8r-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l32c8s8r-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-8f8m9l32c8s8r-minmax-fp32-avx2-mul32.c [ 73%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/convolution_transposed_thin.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/convolution_transposed_thin.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/convolution_transposed_thin.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/convolution_transposed_thin.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_thin.cc [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx2-mul32.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx2-mul32.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx2-mul32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_thin.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/convolution_transposed_thin.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx2-mul32.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-u32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/cumsum.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/cumsum.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x8c8-minmax-fp32-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx2.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx2.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/depthwise_conv.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/depthwise_conv.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x8c8-minmax-fp32-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x8c8-minmax-fp32-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x8c8-minmax-fp32-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x8c8-minmax-fp32-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-3x8c8-minmax-fp32-avx2.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x8c8-minmax-fp32-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x8c8-minmax-fp32-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x8c8-minmax-fp32-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x8c8-minmax-fp32-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-4x8c8-minmax-fp32-avx2.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-u8.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-u8.c [ 73%] Building C object 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx2-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx2-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx2-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vcvt/gen/qu8-vcvt-avx2-u64.c [ 73%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/depthwise_conv_3x3.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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-fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/depthwise_conv_3x3.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/depthwise_conv_3x3.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/depthwise_conv_3x3.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/depthwise_conv_3x3.cc [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u16.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u32.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-u64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/depthwise_conv_3x3.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/depthwise_conv_3x3.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-lut/gen/x8-lut-avx2-u32.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-lut/gen/x8-lut-avx2-u64.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u96.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u96.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u96.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u96.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-lut/gen/x8-lut-avx2-u96.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u128.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u128.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-u128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-lut/gen/x8-lut-avx2-u128.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-32x32-reuse-mov-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-32x32-reuse-mov-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-32x32-reuse-mov-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-32x32-reuse-mov-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-transposec/gen/x8-transposec-32x32-reuse-mov-avx2.c [ 73%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/depthwise_conv_3x3_stride_h2.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/depthwise_conv_3x3_stride_h2.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/depthwise_conv_3x3_stride_h2.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/depthwise_conv_3x3_stride_h2.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/depthwise_conv_3x3_stride_h2.cc [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-32x32-reuse-switch-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-32x32-reuse-switch-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-32x32-reuse-switch-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-32x32-reuse-switch-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-transposec/gen/x8-transposec-32x32-reuse-switch-avx2.c [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x16-packw/gen/x16-packw-x8-gemm-goi-avx2-u16-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x16-packw/gen/x16-packw-x8-gemm-goi-avx2-u16-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/x16-packw/gen/x16-packw-x8-gemm-goi-avx2-u16-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/x16-packw/gen/x16-packw-x8-gemm-goi-avx2-u16-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x16-packw/gen/x16-packw-x8-gemm-goi-avx2-u16-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/depthwise_conv_3x3_stride_h2.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/depthwise_conv_3x3_stride_h2.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x16-packw/gen/x16-packw-x8-gemm-goi-avx2-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x16-packw/gen/x16-packw-x8-gemm-goi-avx2-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/x16-packw/gen/x16-packw-x8-gemm-goi-avx2-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/x16-packw/gen/x16-packw-x8-gemm-goi-avx2-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x16-packw/gen/x16-packw-x8-gemm-goi-avx2-u16.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x16-packw/gen/x16-packw-x16-gemm-goi-avx2-u16-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x16-packw/gen/x16-packw-x16-gemm-goi-avx2-u16-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/x16-packw/gen/x16-packw-x16-gemm-goi-avx2-u16-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/x16-packw/gen/x16-packw-x16-gemm-goi-avx2-u16-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x16-packw/gen/x16-packw-x16-gemm-goi-avx2-u16-prfm.c [ 74%] Building C object 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/elementwise.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/elementwise.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/elementwise.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/elementwise.cc [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-16x16-reuse-mov-avx2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-16x16-reuse-mov-avx2.c.o -MF 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mf16c -mfma -mavx2 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-16x16-reuse-switch-avx2.c.o -MF CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-16x16-reuse-switch-avx2.c.o.d -o CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-16x16-reuse-switch-avx2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x16-transposec/gen/x16-transposec-16x16-reuse-switch-avx2.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/elementwise.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/elementwise.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f-acc2.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f-acc2.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c16s1r-minmax-avx512f-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c16s1r-minmax-avx512f-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c16s1r-minmax-avx512f-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c16s1r-minmax-avx512f-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c16s1r-minmax-avx512f-acc2.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/fully_connected.h:30, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/fully_connected.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c16s1r-minmax-avx512f.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c16s1r-minmax-avx512f.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l16c16s1r-minmax-avx512f.c.o.d -o 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-DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l32c16s1r-minmax-avx512f-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l32c16s1r-minmax-avx512f-acc2.c.o.d -o 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/gather.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/gather.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx512f-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx512f-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx512f-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx512f-broadcast.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/lstm.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/lstm.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx512f-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-8x16-minmax-avx512f-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-8x16-minmax-avx512f-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-8x16-minmax-avx512f-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemm/gen/f32-gemm-8x16-minmax-avx512f-broadcast.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/max_unpooling.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/max_unpooling.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-1x16-minmax-avx512f-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-1x16-minmax-avx512f-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-1x16-minmax-avx512f-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-1x16-minmax-avx512f-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-1x16-minmax-avx512f-broadcast.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-4x16-minmax-avx512f-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-4x16-minmax-avx512f-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-4x16-minmax-avx512f-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-4x16-minmax-avx512f-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-4x16-minmax-avx512f-broadcast.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-5x16-minmax-avx512f-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-5x16-minmax-avx512f-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-5x16-minmax-avx512f-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-5x16-minmax-avx512f-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-5x16-minmax-avx512f-broadcast.c [ 74%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/mean_stddev_normalization.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/mean_stddev_normalization.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/mean_stddev_normalization.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/mean_stddev_normalization.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/mean_stddev_normalization.cc [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x16-minmax-avx512f-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x16-minmax-avx512f-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x16-minmax-avx512f-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-6x16-minmax-avx512f-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-6x16-minmax-avx512f-broadcast.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/mean_stddev_normalization.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/mean_stddev_normalization.h:75:1: warning: multi-line comment [-Wcomment] 75 | // / \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/mean_stddev_normalization.h:79:1: warning: multi-line comment [-Wcomment] 79 | // / \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/mean_stddev_normalization.cc:407:5: warning: multi-line comment [-Wcomment] 407 | // / \ | ^ [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-7x16-minmax-avx512f-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-7x16-minmax-avx512f-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-7x16-minmax-avx512f-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-7x16-minmax-avx512f-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-7x16-minmax-avx512f-broadcast.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-8x16-minmax-avx512f-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-8x16-minmax-avx512f-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-8x16-minmax-avx512f-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-gemminc/gen/f32-gemminc-8x16-minmax-avx512f-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-gemminc/gen/f32-gemminc-8x16-minmax-avx512f-broadcast.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx512f-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx512f-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx512f-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx512f-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx512f-broadcast.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/mean_stddev_normalization.h:24: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx512f-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx512f-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx512f-broadcast.c.o.d -o 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-DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx512f-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx512f-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx512f-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx512f-broadcast.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-6x16-minmax-avx512f-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-6x16-minmax-avx512f-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-6x16-minmax-avx512f-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-6x16-minmax-avx512f-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-6x16-minmax-avx512f-broadcast.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-7x16-minmax-avx512f-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-7x16-minmax-avx512f-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-7x16-minmax-avx512f-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-7x16-minmax-avx512f-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-7x16-minmax-avx512f-broadcast.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-8x16-minmax-avx512f-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-8x16-minmax-avx512f-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-8x16-minmax-avx512f-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-8x16-minmax-avx512f-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-igemm/gen/f32-igemm-8x16-minmax-avx512f-broadcast.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/mean_stddev_normalization.cc: In function ‘tflite::gpu::TryMeanStdDevNormalization(tflite::gpu::GpuInfo const&, tflite::gpu::CalculationsPrecision, tflite::gpu::GraphFloat32 const&, unsigned int, std::map, std::allocator > > const&, std::set, std::allocator >*, tflite::gpu::GPUOperationsSubgraph*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/mean_stddev_normalization.cc:477:78: warning: ‘add_value’ may be used uninitialized [-Wmaybe-uninitialized] 477 | std::make_unique(CreateMeanStdDevNormalization( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 478 | op_def, gpu_info, subgraph_inputs[0]->tensor.shape, add_value, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | /*two_step*/ false)); | ~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/mean_stddev_normalization.cc:447:9: note: ‘add_value’ was declared here 447 | float add_value; | ^~~~~~~~~ [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx512f-2x16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx512f-2x16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx512f-2x16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx512f-2x16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-prelu/gen/f32-prelu-avx512f-2x16.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx512f-2x32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/one_hot.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/one_hot.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/one_hot.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/one_hot.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/one_hot.cc [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u64-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u64.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u128-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u128-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u128-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u128-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u128-acc2.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/one_hot.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/one_hot.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u128-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u128-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u128-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u128-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u128-acc4.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u128.c.o -MF 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-DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u144.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u144.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u144.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u144.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u160-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u160-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u160-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u160-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u160-acc2.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/padding.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/padding.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u160-acc5.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u160-acc5.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u160-acc5.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u160-acc5.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u160-acc5.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u160.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection 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CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u192.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-u192.c [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u64-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u64-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u64-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u64-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u64-acc2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/pooling.cc: In function ‘std::string tflite::gpu::{anonymous}::GetAveragePoolingKernelCode(const tflite::gpu::OperationDef&, const tflite::gpu::GpuInfo&, tflite::gpu::GPUOperation*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/pooling.cc:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 1; i < src_coords.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/pooling.cc:62:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 62 | for (int i = 1; i < dst_coords.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/pooling.cc: In function ‘std::string tflite::gpu::{anonymous}::GetMaxPoolingKernelCode(const tflite::gpu::OperationDef&, bool, tflite::gpu::GPUOperation*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/pooling.cc:158:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 158 | for (int i = 1; i < src_coords.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/pooling.cc:162:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 162 | for (int i = 1; i < dst_coords.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/pooling.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/pooling.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u64-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 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-DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u160-acc5.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u160-acc5.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u160-acc5.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u160-acc5.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/prelu.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/prelu.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u160.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u192.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u192.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u192.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-u192.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/quantize_and_dequantize.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/quantize_and_dequantize.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u64-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u128-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u128-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u128-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u128-acc4.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/reduce.cc: In member function ‘std::string tflite::gpu::Reduce::GetReduceKernelCode(const tflite::gpu::OperationDef&, const tflite::gpu::GpuInfo&, const tflite::gpu::int3&, const std::vector&, tflite::gpu::OperationType)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/reduce.cc:374:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 374 | for (int i = 0; i < axis_to_reduce.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/reduce.cc:421:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 421 | for (int i = 0; i < axis_to_reduce.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/reduce.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/reduce.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u128.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u128.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u128.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u144-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/relu.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/relu.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/relu.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/relu.cc [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u192.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u192.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u192.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u192.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-u192.c [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx512f-c16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx512f-c16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx512f-c16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx512f-c16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx512f-c16.c [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx512f-c32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx512f-c32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx512f-c32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx512f-c32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx512f-c32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/relu.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/relu.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx512f-c64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx512f-c64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rdsum/gen/f32-rdsum-7p7x-minmax-avx512f-c64.c.o.d -o 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmax-avx512f-u16.c [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u32-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u32-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u32-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u32-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmax-avx512f-u32-acc2.c [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u48-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u48-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u48-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u48-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmax-avx512f-u48-acc3.c [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u64-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u64-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u64-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u64-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmax-avx512f-u64-acc2.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_tensor.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/resampler.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/resampler.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u64-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u64-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u64-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmax-avx512f-u64-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmax-avx512f-u64-acc4.c [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u16.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes 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-DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/reshape.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/reshape.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/reshape.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/reshape.cc [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u32-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u32-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u32-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u32-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmin-avx512f-u32-acc2.c [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u48-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u48-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u48-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u48-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmin-avx512f-u48-acc3.c [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u64-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u64-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u64-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u64-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmin-avx512f-u64-acc2.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_tensor.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/reshape.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/reshape.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u64-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u64-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u64-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rmin-avx512f-u64-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rmin-avx512f-u64-acc4.c [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u16.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes 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-DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/reshapex4.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/reshapex4.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/reshapex4.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/reshapex4.cc [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u32-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u48-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u48-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u48-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rminmax-avx512f-u48-acc3.c [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u64-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u64-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u64-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u64-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rminmax-avx512f-u64-acc2.c [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u64-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u64-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u64-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rminmax/gen/f32-rminmax-avx512f-u64-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rminmax/gen/f32-rminmax-avx512f-u64-acc4.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_tensor.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/reshapex4.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/reshapex4.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rsum/gen/f32-rsum-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rsum/gen/f32-rsum-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-rsum/gen/f32-rsum-avx512f-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-rsum/gen/f32-rsum-avx512f-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-rsum/gen/f32-rsum-avx512f-u16.c [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-rsum/gen/f32-rsum-avx512f-u32-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-u16.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/resize.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/resize.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-u32.c [ 76%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/select_v2.cc.o 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/select_v2.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/select_v2.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/select_v2.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/select_v2.cc [ 76%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 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CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-u16.c [ 76%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-u32.c [ 76%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-u16.c [ 76%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-u32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/select_v2.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/select_v2.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx512f-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx512f-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx512f-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx512f-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmaxc-avx512f-u32.c [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx512f-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx512f-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmin-avx512f-u16.c [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx512f-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx512f-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx512f-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx512f-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vmin-avx512f-u32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_tensor.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/softmax.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/softmax.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-avx512f-u32.c.o -MF 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-u16.c.o.d -o 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-u32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/softmax1x1.cc: In function ‘std::string tflite::gpu::{anonymous}::GetReduceCode(const std::string&, tflite::gpu::OperationType, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/softmax1x1.cc:64:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 64 | for (int i = 0; i < stages.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/softmax1x1.cc:65:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 65 | const bool last_stage = i == stages.size() - 1; | ~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/tensor_desc.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_tensor.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/softmax1x1.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/softmax1x1.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-u32.c [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-u16.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/space_to_depth.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/space_to_depth.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-u32.c [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx512f-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx512f-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vclamp/gen/f32-vclamp-avx512f-u16.c [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx512f-u32.c.o cd 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Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-u48.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/split.cc: In member function ‘std::string tflite::gpu::Split::GetSplitCode()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/split.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 0; i < definition_.dst_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/split.cc:92:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 92 | for (int i = 1; i < src_coords.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/split.cc:95:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 95 | for (int i = 0; i < definition_.dst_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/split.cc:106:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 106 | for (int j = 1; j < dst_coords.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/split.cc: In member function ‘std::string tflite::gpu::Split::GetSplitChannelsCode(const tflite::gpu::GpuInfo&, const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/split.cc:124:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 124 | for (int i = 0; i < definition_.dst_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-u64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/split.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/split.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u48.c [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u64.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/strided_slice.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/strided_slice.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u80.c [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-u96.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx512f-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx512f-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vhswish/gen/f32-vhswish-avx512f-u16.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/tile.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/tile.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx512f-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx512f-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx512f-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx512f-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vhswish/gen/f32-vhswish-avx512f-u32.c [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx512f-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx512f-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vlrelu/gen/f32-vlrelu-avx512f-u16.c [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx512f-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx512f-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx512f-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vrnd/gen/f32-vrndd-avx512f-u16.c [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx512f-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx512f-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx512f-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx512f-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vrnd/gen/f32-vrndd-avx512f-u32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/transpose.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/transpose.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx512f-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx512f-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx512f-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vrnd/gen/f32-vrndu-avx512f-u32.c [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx512f-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx512f-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vrnd/gen/f32-vrndz-avx512f-u16.c [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx512f-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx512f-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx512f-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx512f-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vrnd/gen/f32-vrndz-avx512f-u32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/winograd.cc: In function ‘void tflite::gpu::{anonymous}::VectorToKernelBufferDesc(const std::vector&, tflite::gpu::DataType, tflite::gpu::BufferDescriptor*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/winograd.cc:47:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 47 | for (int i = 0; i < data.size(); ++i) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/operations.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/winograd.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/winograd.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vrsqrt/gen/f32-vrsqrt-avx512f-rsqrt-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-u160.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-u160.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-u160.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-u160.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.cc: In function ‘absl::lts_20240722::Status tflite::gpu::{anonymous}::IsNode(const tflite::gpu::GraphFloat32&, tflite::gpu::OperationType, int, int, tflite::gpu::Node*, NodeContext*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.cc:104:37: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 104 | if (node_context->inputs.size() != inputs_count) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.cc:110:36: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 110 | if (node_context->outputs.size() != outputs_count) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.cc: In function ‘tflite::gpu::GPUOperation tflite::gpu::CreateConvPointwise(const OperationDef&, const ConvPointwiseAttributes&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.cc:210:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 210 | for (int i = 0; i < attr.offsets.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.cc:214:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 214 | for (int i = attr.offsets.size(); i < offsets_data.size() / 2; ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-u176.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-u176.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-u176.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-u176.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-u176.c [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-u192.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-u192.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-u192.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-u192.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-u192.c [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u16.c [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/arguments.h:28, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task/gpu_operation.h:28, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/selectors/subgraph.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.h:24: In member function ‘tflite::gpu::Vec2::Vec2(tflite::gpu::Vec2 const&)’, inlined from ‘std::__new_allocator >::construct, tflite::gpu::Vec2 >(tflite::gpu::Vec2*, tflite::gpu::Vec2&&)void’ at /usr/include/c++/14/bits/new_allocator.h:191:4, inlined from ‘std::allocator_traits > >::construct, tflite::gpu::Vec2 >(std::allocator >&, tflite::gpu::Vec2*, tflite::gpu::Vec2&&)void’ at /usr/include/c++/14/bits/alloc_traits.h:534:17, inlined from ‘std::vector, std::allocator > >::_M_realloc_append >(tflite::gpu::Vec2&&)void’ at /usr/include/c++/14/bits/vector.tcc:634:26, inlined from ‘std::vector, std::allocator > >::emplace_back >(tflite::gpu::Vec2&&)tflite::gpu::Vec2&’ at /usr/include/c++/14/bits/vector.tcc:123:21, inlined from ‘std::vector, std::allocator > >::push_back(tflite::gpu::Vec2&&)’ at /usr/include/c++/14/bits/stl_vector.h:1301:21, inlined from ‘tflite::gpu::TryFusedPointwiseConv(tflite::gpu::GraphFloat32 const&, unsigned int, tflite::gpu::CalculationsPrecision, std::map, std::allocator > > const&, std::set, std::allocator >*, tflite::gpu::GPUOperationsSubgraph*)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.cc:275:30: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/types.h:154:33: warning: ‘offset_y’ may be used uninitialized [-Wmaybe-uninitialized] 154 | Vec2(const Vec2& f) : x(f.x), y(f.y) {} | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.cc: In function ‘tflite::gpu::TryFusedPointwiseConv(tflite::gpu::GraphFloat32 const&, unsigned int, tflite::gpu::CalculationsPrecision, std::map, std::allocator > > const&, std::set, std::allocator >*, tflite::gpu::GPUOperationsSubgraph*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.cc:272:19: note: ‘offset_y’ was declared here 272 | int offset_x, offset_y; | ^~~~~~~~ In member function ‘tflite::gpu::Vec2::Vec2(tflite::gpu::Vec2 const&)’, inlined from ‘std::__new_allocator >::construct, tflite::gpu::Vec2 >(tflite::gpu::Vec2*, tflite::gpu::Vec2&&)void’ at /usr/include/c++/14/bits/new_allocator.h:191:4, inlined from ‘std::allocator_traits > >::construct, tflite::gpu::Vec2 >(std::allocator >&, tflite::gpu::Vec2*, tflite::gpu::Vec2&&)void’ at /usr/include/c++/14/bits/alloc_traits.h:534:17, inlined from ‘std::vector, std::allocator > >::_M_realloc_append >(tflite::gpu::Vec2&&)void’ at /usr/include/c++/14/bits/vector.tcc:634:26, inlined from ‘std::vector, std::allocator > >::emplace_back >(tflite::gpu::Vec2&&)tflite::gpu::Vec2&’ at /usr/include/c++/14/bits/vector.tcc:123:21, inlined from ‘std::vector, std::allocator > >::push_back(tflite::gpu::Vec2&&)’ at /usr/include/c++/14/bits/stl_vector.h:1301:21, inlined from ‘tflite::gpu::TryFusedPointwiseConv(tflite::gpu::GraphFloat32 const&, unsigned int, tflite::gpu::CalculationsPrecision, std::map, std::allocator > > const&, std::set, std::allocator >*, tflite::gpu::GPUOperationsSubgraph*)’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.cc:275:30: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/types.h:154:25: warning: ‘offset_x’ may be used uninitialized [-Wmaybe-uninitialized] 154 | Vec2(const Vec2& f) : x(f.x), y(f.y) {} | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.cc: In function ‘tflite::gpu::TryFusedPointwiseConv(tflite::gpu::GraphFloat32 const&, unsigned int, tflite::gpu::CalculationsPrecision, std::map, std::allocator > > const&, std::set, std::allocator >*, tflite::gpu::GPUOperationsSubgraph*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/conv_pointwise.cc:272:9: note: ‘offset_x’ was declared here 272 | int offset_x, offset_y; | ^~~~~~~~ [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u48.c [ 78%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/special/dw7x7_conv2to6_concat_conv8to8.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u96.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u96.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u96.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u112.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u112.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u112.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u112.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/dw7x7_conv2to6_concat_conv8to8.cc: In function ‘void tflite::gpu::{anonymous}::UploadWeights(const std::vector&, tflite::gpu::CalculationsPrecision, tflite::gpu::GPUOperation*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/dw7x7_conv2to6_concat_conv8to8.cc:138:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 138 | for (int i = 0; i < constants.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/dw7x7_conv2to6_concat_conv8to8.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/dw7x7_conv2to6_concat_conv8to8.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u128.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u128.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-u128.c [ 78%] Building C object 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/special/fc_fc_add.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/special/fc_fc_add.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/special/fc_fc_add.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/fc_fc_add.cc [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u16.c [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u32.c [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u48.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/fc_fc_add.cc: In function ‘absl::lts_20240722::Status tflite::gpu::TryFCFCAdd(const GpuInfo&, CalculationsPrecision, const GraphFloat32&, NodeId, const std::map&, std::set*, GPUOperationsSubgraph*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/fc_fc_add.cc:374:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 374 | for (int i = 0; i < fc1_inputs.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/fc_fc_add.h:29, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/fc_fc_add.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u64.c [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u80.c [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u96.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-u112.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u16.c [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u32.c [ 78%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp 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-DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u48.c [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u64.c [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u80.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc: In member function ‘void tflite::gpu::ThinPointwiseFuser::CreateConstantsGpuBuffer(const tflite::gpu::GpuInfo&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc:287:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 287 | for (int i = 0; i < gpu_data_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc: In member function ‘void tflite::gpu::ThinPointwiseFuser::AddNode(const tflite::gpu::GpuInfo&, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc:524:50: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 524 | AddConv1x1Node(gpu_info, *attr, node_index == nodes_.size() - 1); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc: In lambda function: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc:573:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 573 | for (int i = 0; i < axes.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc: In member function ‘void tflite::gpu::ThinPointwiseFuser::AddElementwiseNode(tflite::gpu::ElementwiseDescriptor&&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc:631:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 631 | for (int i = 0; i < outputs_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc: In member function ‘void tflite::gpu::ThinPointwiseFuser::AddAddNode(tflite::gpu::ValueId)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc:660:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 660 | for (int i = 0; i < outputs_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc: In lambda function: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc:761:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 761 | for (int i = 0; i < axes.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc: In member function ‘bool tflite::gpu::ThinPointwiseFuser::Finalize(const tflite::gpu::GpuInfo&, tflite::gpu::GPUOperationsSubgraph*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc:869:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 869 | for (int i = 0; i < nodes_.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc:893:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 893 | for (int i = 1; i < op_def_.src_tensors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u96.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u96.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u96.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u96.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u96.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/tasks/special/thin_pointwise_fuser.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-u112.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-u80.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/add_bias.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/add_bias.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-u96.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-u112.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/transformations/add_quant_adjustments.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/transformations/add_quant_adjustments.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/transformations/add_quant_adjustments.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/transformations/add_quant_adjustments.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/add_quant_adjustments.cc [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-u128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-u128.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-u128.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-u128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-u128.c [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u16.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/add_quant_adjustments.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/add_quant_adjustments.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/fuse_add_to_conv.cc [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u64.c.o -MF 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-DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u80.c [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u96.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u96.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u96.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u96.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u96.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/fuse_add_to_conv.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/fuse_add_to_conv.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u112.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u112.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u112.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u112.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u112.c [ 78%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-u128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-u32.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-u48.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/fuse_mul_to_conv.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/fuse_mul_to_conv.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection 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-DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-u128.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-u128.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-u128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-u128.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/global_pooling_to_reduce_op.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/global_pooling_to_reduce_op.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-rsqrt-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-div-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-div-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-div-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-div-u16.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/make_fully_connected.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/make_fully_connected.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-div-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-nr-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-nr-u16.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-nr-u24.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-nr-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-nr-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-nr-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-nr-u24.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/make_padding.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/make_padding.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-nr-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp 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-DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/transformations/merge_densify.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/transformations/merge_densify.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/gpu/common/transformations/merge_densify.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/merge_densify.cc [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-u8.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-u8.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-u8.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-u8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-u8.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT 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-DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-u24.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-u24.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-u24.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-u24.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/merge_densify.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/merge_densify.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512f-rational-9-6-u32.c.o.d -o 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-DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx512f-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx512f-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx512f-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vunary/gen/f32-vneg-avx512f-u32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/merge_padding_with.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/merge_padding_with.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx512f-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx512f-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx512f-u16.c.o.d -o 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx512f-rr2-lut32-p2-perm2-scalef.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx512f-rr2-lut32-p2-perm2-scalef.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx512f-rr2-lut32-p2-perm2-scalef.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-exp-avx512f-rr2-lut32-p2-perm2-scalef.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx512f-rr2-lut32-p2-perm2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx512f-rr2-lut32-p2-perm2.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx512f-rr2-lut32-p2-perm2.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx512f-rr2-lut32-p2-perm2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-exp-avx512f-rr2-lut32-p2-perm2.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx512f-rr2-p5-scalef.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx512f-rr2-p5-scalef.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx512f-rr2-p5-scalef.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx512f-rr2-p5-scalef.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-exp-avx512f-rr2-p5-scalef.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/model_transformations.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/model_transformations.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-exp-avx512f-rr2-p5.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-expm1minus-avx512f-rr1-p6.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-expm1minus-avx512f-rr1-p6.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-expm1minus-avx512f-rr1-p6.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-expm1minus-avx512f-rr1-p6.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-extexp-avx512f-p5.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-extexp-avx512f-p5.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-extexp-avx512f-p5.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-extexp-avx512f-p5.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-extexp-avx512f-p5.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-lut16-p3-perm-scalef-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-lut16-p3-perm-scalef-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-lut16-p3-perm-scalef-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-lut16-p3-perm-scalef-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx512f-rr1-lut16-p3-perm-scalef-div.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/model_transformer.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/remove_noop.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/transformations/remove_noop.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘int32_t tflite::gpu::internal_shape::DimensionGetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN; int32_t = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionGetterFunc; decltype (f.operator()()) = int]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:659:26: required from here 659 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 660 | internal_shape::DimensionGetterFunc{axis, this}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:402:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 402 | return i >= 0 && i < l->dimensions.size() ? l->dimensions[i] : -1; | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:598:47: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 598 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWD]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:600:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 600 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:602:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 602 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:604:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 604 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::CHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:606:48: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 606 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OIHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:608:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 608 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IOHW]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:610:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 610 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:612:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 612 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::IHWO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:614:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 614 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::LINEAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:616:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 616 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::SCALAR]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:618:51: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 618 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:620:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 620 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::BHWDC]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:622:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 622 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::OHWDI]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:624:50: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 624 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::HWIO]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:626:49: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 626 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h: In instantiation of ‘bool tflite::gpu::internal_shape::DimensionSetterFunc::operator()() const [with tflite::gpu::Layout T = tflite::gpu::Layout::UNKNOWN]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:628:52: required from ‘decltype (f.operator()()) tflite::gpu::DispatchByLayout(Layout, F) [with F = internal_shape::DimensionSetterFunc; decltype (f.operator()()) = bool]’ 628 | return f.template operator()(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:670:26: required from here 670 | return DispatchByLayout(layout, | ~~~~~~~~~~~~~~~~^~~~~~~~ 671 | internal_shape::DimensionSetterFunc{axis, this, t}); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/shape.h:427:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 427 | if (i >= 0 && i < l->dimensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma1adj.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-p5-scalef-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-p5-scalef-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-p5-scalef-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx512f-rr1-p5-scalef-div.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/gpu_compatibility.cc: In function ‘int tflite::{anonymous}::NumElements(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/gpu_compatibility.cc:40:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 40 | for (int i = 0; i < dims.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/gpu_compatibility.cc: In function ‘absl::lts_20240722::Status tflite::{anonymous}::CheckTensorIsAvailable(const tflite::OpSignature&, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/gpu_compatibility.cc:152:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 152 | if (idx >= op_sig.inputs.size()) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/gpu_compatibility.cc: In function ‘absl::lts_20240722::Status tflite::CheckGpuDelegateCompatibility(const OpSignature&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/gpu_compatibility.cc:727:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 727 | for (int i = 0; i < input0.dims.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-p5-scalef-nr1fma1adj.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-p5-scalef-nr1fma1adj.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-p5-scalef-nr1fma1adj.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-p5-scalef-nr1fma1adj.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx512f-rr1-p5-scalef-nr1fma1adj.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-p5-scalef-nr1fma.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-p5-scalef-nr1fma.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-p5-scalef-nr1fma.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr1-p5-scalef-nr1fma.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx512f-rr1-p5-scalef-nr1fma.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut16-p3-perm-scalef-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut16-p3-perm-scalef-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut16-p3-perm-scalef-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut16-p3-perm-scalef-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx512f-rr2-lut16-p3-perm-scalef-div.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/gpu_compatibility.cc: In function ‘absl::lts_20240722::Status tflite::{anonymous}::IsActivationSupported(TfLiteFusedActivation)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/gpu_compatibility.cc:91:1: warning: control reaches end of non-void function [-Wreturn-type] 91 | } | ^ [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut16-p3-perm-scalef-nr1fma1adj.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut64-p2-gather-scalef-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut64-p2-gather-scalef-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut64-p2-gather-scalef-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx512f-rr2-lut64-p2-gather-scalef-div.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut64-p2-gather-scalef-nr1fma1adj.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut64-p2-gather-scalef-nr1fma1adj.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut64-p2-gather-scalef-nr1fma1adj.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut64-p2-gather-scalef-nr1fma1adj.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx512f-rr2-lut64-p2-gather-scalef-nr1fma1adj.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut64-p2-gather-scalef-nr1fma.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut64-p2-gather-scalef-nr1fma.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut64-p2-gather-scalef-nr1fma.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-lut64-p2-gather-scalef-nr1fma.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx512f-rr2-lut64-p2-gather-scalef-nr1fma.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-div.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc: In function ‘std::vector tflite::{anonymous}::GetOpSignatureTensorSpecs(const flatbuffers::Vector*, const tflite::SubGraph*, const tflite::Model*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:57:42: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = int; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 57 | for (int32_t i = 0; i < tensors->Length(); ++i) { | ~~~~~~~~~~~~~~~^~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/array.h:25, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/flatbuffers.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/schema/schema_generated.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:57:25: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare] 57 | for (int32_t i = 0; i < tensors->Length(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:62:73: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = flatbuffers::Offset; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 62 | if (subgraph->tensors() && tensor_no < subgraph->tensors()->Length()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:62:44: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare] 62 | if (subgraph->tensors() && tensor_no < subgraph->tensors()->Length()) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:68:69: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = flatbuffers::Offset; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 68 | if (buffer_idx != 0 && buffer_idx < model->buffers()->Length()) { | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:76:52: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = int; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 76 | for (int32_t j = 0; j < shape_vec->Length(); ++j) { | ~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:76:33: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare] 76 | for (int32_t j = 0; j < shape_vec->Length(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:84:62: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = int; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 84 | for (int32_t j = 0; j < shape_signature_vec->Length(); ++j) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:84:33: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare] 84 | for (int32_t j = 0; j < shape_signature_vec->Length(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc: In function ‘tflite::OpSignature tflite::GetOpSignature(const OperatorCode*, const Operator*, const SubGraph*, const Model*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:155:40: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = float; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 155 | filter_quant->scale()->Length() && | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:156:40: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = float; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 156 | filter_quant->scale()->Length() == num_channels) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:156:43: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 156 | filter_quant->scale()->Length() == num_channels) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:173:43: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘flatbuffers::Vector::return_type’ {aka ‘int’} [-Wsign-compare] 173 | weight_quant->scale()->size() == weight_tensor->shape()->Get(0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:178:31: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = int; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 178 | if (op->inputs()->Length() < 2 || op->outputs()->Length() < 1) { | ~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:178:62: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = int; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 178 | if (op->inputs()->Length() < 2 || op->outputs()->Length() < 1) { | ~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:193:40: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = float; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 193 | input1_quant->scale()->Length() && input2_qunt && | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:194:63: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = float; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 194 | input2_qunt->scale() && input2_qunt->scale()->Length() && | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:196:40: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = float; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 196 | output_quant->scale()->Length()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:215:40: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = float; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 215 | filter_quant->scale()->Length() && | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:216:40: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = float; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 216 | filter_quant->scale()->Length() == num_filters) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:216:43: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 216 | filter_quant->scale()->Length() == num_filters) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:244:39: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = float; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 244 | input_quant->scale()->Length() > 1 && | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:245:39: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = float; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 245 | input_quant->scale()->Length() == | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:245:42: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘flatbuffers::Vector::return_type’ {aka ‘int’} [-Wsign-compare] 245 | input_quant->scale()->Length() == | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ 246 | input_tensor->shape()->Get(input_quant->quantized_dimension())) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:257:40: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = float; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 257 | output_quant->scale()->Length() > 1 && | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:258:40: warning: ‘SizeT flatbuffers::Vector::Length() const [with T = float; SizeT = unsigned int]’ is deprecated: use size() instead [-Wdeprecated-declarations] 258 | output_quant->scale()->Length() == | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include/flatbuffers/vector.h:168:9: note: declared here 168 | SizeT Length() const { return size(); } | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/tools/versioning/op_signature.cc:258:43: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘flatbuffers::Vector::return_type’ {aka ‘int’} [-Wsign-compare] 258 | output_quant->scale()->Length() == | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ 259 | output_tensor->shape()->Get( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 260 | output_quant->quantized_dimension())) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-nr1fma1adj.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-nr1fma1adj.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-nr1fma1adj.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-nr1fma1adj.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-nr1fma1adj.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-nr1fma.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-nr1fma.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-nr1fma.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-nr1fma.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sigmoid-avx512f-rr2-p5-scalef-nr1fma.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sqrt-avx512f-nr1fma1adj.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sqrt-avx512f-nr1fma1adj.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sqrt-avx512f-nr1fma1adj.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sqrt-avx512f-nr1fma1adj.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sqrt-avx512f-nr1fma1adj.c [ 79%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sqrt-avx512f-nr1fma.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/f32-sqrt-avx512f-nr2fma.c.o -MF CMakeFiles/microkernels-all.dir/src/math/f32-sqrt-avx512f-nr2fma.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/f32-sqrt-avx512f-nr2fma.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/f32-sqrt-avx512f-nr2fma.c [ 80%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/interpreter_utils.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src 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-fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/interpreter_utils.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/interpreter_utils.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/interpreter_utils.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/interpreter_utils.cc [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16-gemm-goi-avx512f-u4-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16-gemm-goi-avx512f-u4-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16-gemm-goi-avx512f-u4-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16-gemm-goi-avx512f-u4-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x16-gemm-goi-avx512f-u4-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_signature_runner.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter.h:45, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/interpreter.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/interpreter_utils.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/interpreter_utils.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16-gemm-goi-avx512f-u4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -fno-math-errno -mavx512f -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16-gemm-goi-avx512f-u4.c.o -MF CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16-gemm-goi-avx512f-u4.c.o.d -o CMakeFiles/microkernels-all.dir/src/x32-packw/gen/x32-packw-x16-gemm-goi-avx512f-u4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x32-packw/gen/x32-packw-x16-gemm-goi-avx512f-u4.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-u16.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-u32.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c16.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c32.c In file included from /usr/lib/gcc/x86_64-redhat-linux/14/include/immintrin.h:55, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c32.c:12: In function ‘_mm512_maskz_add_ps’, inlined from ‘xnn_f16_f32acc_rdsum_ukernel_7p7x__avx512skx_c32’ at /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c32.c:204:14: /usr/lib/gcc/x86_64-redhat-linux/14/include/avx512fintrin.h:13750:49: warning: ‘vmask’ may be used uninitialized [-Wmaybe-uninitialized] 13750 | (__mmask16) __U, | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c32.c: In function ‘xnn_f16_f32acc_rdsum_ukernel_7p7x__avx512skx_c32’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c32.c:135:15: note: ‘vmask’ was declared here 135 | __mmask16 vmask; | ^~~~~ [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-f32acc-rdsum/gen/f16-f32acc-rdsum-7p7x-avx512skx-c64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/utils.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/utils.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/utils.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/utils.cc [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmax-avx512skx-u32-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 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-Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmax-avx512skx-u32-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmax-avx512skx-u32-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmax-avx512skx-u32-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-rminmax/gen/f16-rmax-avx512skx-u32-acc2.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/utils.cc:27: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ 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80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmax-avx512skx-u64-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-rminmax/gen/f16-rmin-avx512skx-u16.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u32-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u32-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u32-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u32-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-rminmax/gen/f16-rmin-avx512skx-u32-acc2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/utils.cc: In member function ‘virtual std::vector tflite::delegates::FP16GraphPartitionHelper::GetNodesOfFirstNLargestPartitionsImpl(int, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/utils.cc:201:62: warning: comparison of integer expressions of different signedness: ‘std::unordered_map::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 201 | if (num_supported_nodes() + constant_dequant_nodes_.size() == | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ 202 | num_total_nodes()) { | ~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/utils.cc:219:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 219 | for (int i = 0; i < first_n_partitions.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/utils.cc: In member function ‘virtual bool tflite::delegates::FP16GraphPartitionHelper::IsNodeSupported(TfLiteContext*, TfLiteNode*, TfLiteRegistration*, int, std::string*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/utils.cc:264:50: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 264 | if (!orig_inputs.empty() && node->inputs->size == orig_inputs.size()) { | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u48-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u48-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u48-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u48-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-rminmax/gen/f16-rmin-avx512skx-u48-acc3.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u64-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u64-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u64-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u64-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-rminmax/gen/f16-rmin-avx512skx-u64-acc2.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmin-avx512skx-u64-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rminmax-avx512skx-u64-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rminmax-avx512skx-u64-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rminmax-avx512skx-u64-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-rminmax/gen/f16-rminmax-avx512skx-u64-acc4.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u16.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/quantization_util.cc:21: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u32.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vsqrt/gen/f16-vsqrt-avx512skx-sqrt-u64.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-u16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-u32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc4w-gemm-1x32-minmax-avx512skx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc4w-gemm-1x32-minmax-avx512skx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc4w-gemm-1x32-minmax-avx512skx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc4w-gemm-1x32-minmax-avx512skx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc4w-gemm-1x32-minmax-avx512skx-broadcast.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc4w-gemm-2x32-minmax-avx512skx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 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-fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/delegates/xnnpack/xnnpack_delegate.cc.o -MF CMakeFiles/tensorflow-lite.dir/delegates/xnnpack/xnnpack_delegate.cc.o.d -o CMakeFiles/tensorflow-lite.dir/delegates/xnnpack/xnnpack_delegate.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc [ 80%] Building C object 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-DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x32-minmax-avx512skx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x32-minmax-avx512skx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x32-minmax-avx512skx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-1x32-minmax-avx512skx-broadcast.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16-minmax-avx512skx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16-minmax-avx512skx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16-minmax-avx512skx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16-minmax-avx512skx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x16-minmax-avx512skx-broadcast.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x32-minmax-avx512skx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x32-minmax-avx512skx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x32-minmax-avx512skx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x32-minmax-avx512skx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-2x32-minmax-avx512skx-broadcast.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc:44: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-avx512skx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-avx512skx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-avx512skx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-avx512skx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x16-minmax-avx512skx-broadcast.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc: In member function ‘TfLiteStatus tflite::xnnpack::{anonymous}::VariableHolder::AssociateVariableWithTensor(int, const TfLiteTensor*, TfLiteContext*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc:460:28: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 460 | for (size_t i = 0; i < NumDimensions(found_tensor); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc: In member function ‘TfLiteStatus tflite::xnnpack::{anonymous}::Subgraph::Prepare(TfLiteContext*, TfLiteNode*, bool, tflite::xnnpack::{anonymous}::Delegate*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc:1171:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1171 | for (int i = 0; i < inputs_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc:1195:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1195 | for (int i = 0; i < outputs_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc:1209:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1209 | for (int k = 0; k < num_out_dims; ++k) { | ~~^~~~~~~~~~~~~~ [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x32-minmax-avx512skx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x32-minmax-avx512skx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x32-minmax-avx512skx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x32-minmax-avx512skx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-3x32-minmax-avx512skx-broadcast.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc: In static member function ‘static TfLiteStatus tflite::xnnpack::{anonymous}::Subgraph::VisitSliceNode(xnn_subgraph_t, const tflite::xnnpack::{anonymous}::Delegate&, TfLiteContext*, int, TfLiteNode*, const TfLiteTensor*, const std::unordered_map&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc:5906:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 5906 | for (size_t i = 0; i < num_dims; i++) { | ~~^~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc: In static member function ‘static TfLiteStatus tflite::xnnpack::{anonymous}::Subgraph::VisitStridedSliceNode(xnn_subgraph_t, const tflite::xnnpack::{anonymous}::Delegate&, TfLiteContext*, int, TfLiteNode*, const TfLiteTensor*, const TfLiteStridedSliceParams*, const std::unordered_map&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc:6443:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 6443 | for (size_t i = 0; i < num_dims; i++) { | ~~^~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc:6528:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 6528 | for (size_t i = 0; i < num_dims; i++) { | ~~^~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc: In static member function ‘static TfLiteStatus tflite::xnnpack::{anonymous}::Subgraph::VisitDotAttentionNode(xnn_subgraph_t, const tflite::xnnpack::{anonymous}::Delegate&, TfLiteContext*, int, TfLiteNode*, const TfLiteTensor*, const float*, const std::unordered_map&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:248:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::array::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 248 | if ((a) != (b)) { \ | ~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc:6692:7: note: in expansion of macro ‘TF_LITE_ENSURE_EQ’ 6692 | TF_LITE_ENSURE_EQ(logging_context, query_proj.dims->size, | ^~~~~~~~~~~~~~~~~ [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16-minmax-avx512skx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16-minmax-avx512skx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16-minmax-avx512skx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16-minmax-avx512skx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x16-minmax-avx512skx-broadcast.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x32-minmax-avx512skx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x32-minmax-avx512skx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x32-minmax-avx512skx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x32-minmax-avx512skx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-4x32-minmax-avx512skx-broadcast.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc: At global scope: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.cc:341:21: warning: ‘std::vector tflite::xnnpack::{anonymous}::TfLiteDimensionsToXNNPackDimensions(const std::vector&)’ defined but not used [-Wunused-function] 341 | std::vector TfLiteDimensionsToXNNPackDimensions( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16-minmax-avx512skx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16-minmax-avx512skx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16-minmax-avx512skx-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16-minmax-avx512skx-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x16-minmax-avx512skx-broadcast.c [ 80%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x32-minmax-avx512skx-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x32-minmax-avx512skx-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-qc8w-gemm/gen/f32-qc8w-gemm-5x32-minmax-avx512skx-broadcast.c.o.d -o 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/usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/experimental/resource/cache_buffer.cc:51:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 51 | TFLITE_DCHECK(count <= dims_->data[2]); | ~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/compatibility.h:23:35: note: in definition of macro ‘TFLITE_DCHECK’ 23 | #define TFLITE_DCHECK(condition) (condition) ? (void)0 : TFLITE_ASSERT_FALSE | ^~~~~~~~~ [ 81%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-div-u144.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-div-u144.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-div-u144.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-div-u144.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from 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-fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/internal/mfcc.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/internal/mfcc.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/internal/mfcc.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/mfcc.cc [ 81%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-div-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-div-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-div-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-div-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-div-u32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/mfcc.cc: In member function ‘void tflite::internal::Mfcc::Compute(const std::vector&, std::vector*) const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/mfcc.cc:54:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 54 | for (int i = 0; i < working.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ [ 81%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/internal/mfcc_dct.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-div-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-div-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-div-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-div-u48.c [ 81%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/internal/mfcc_mel_filterbank.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-div-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-nr1adj-u144.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-nr1adj-u144.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-nr1adj-u144.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-nr1adj-u144.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/activations.cc:25: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 81%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-nr1adj-u160.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-nr1adj-u160.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-nr1adj-u160.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-nr1adj-u160.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-gather-nr1adj-u160.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/lut.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/activations.cc:30: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 81%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-perm-div-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-perm-div-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-perm-div-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-perm-div-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-perm-div-u64.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 81%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-perm-div-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-perm-div-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-perm-div-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-perm-div-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-perm-div-u80.c [ 81%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-lut8-p4h3ts-perm-div-u96.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u48.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/add.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/add.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u64.c [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u80.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u80.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u80.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u80.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u80.c [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u96.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u96.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u96.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u96.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u96.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u112.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u112.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u112.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u112.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u112.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u128.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u128.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u128.c [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u144.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u144.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u144.c.o.d -o 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-div-u160.c.o -MF 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-DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u16.c [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u128.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u128.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u128.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/add_n.cc:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u144.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u144.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u144.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u144.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u144.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/add_n.cc:21: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u160.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u160.c.o -MF CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u160.c.o.d -o CMakeFiles/microkernels-all.dir/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u160.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f32-vtanh/gen/f32-vtanh-avx512skx-expm1minus-rr1-p6h5ts-nr1-u160.c [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-div.c [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut4-p4h3ts-perm-nr1adj.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In instantiation of ‘void tflite::optimized_ops::AddN(const tflite::RuntimeShape&, size_t, const T* const*, T*, T*, tflite::CpuBackendContext*) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/add_n.cc:119:25: required from ‘TfLiteStatus tflite::ops::builtin::add_n::EvalAddN(TfLiteContext*, TfLiteNode*) [with T = float; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 119 | optimized_ops::AddN(GetTensorShape(input1), num_inputs, all_inputs.data(), | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 120 | GetTensorData(output), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 121 | GetTensorData(scratch_tensor), cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/add_n.cc:133:5: required from here 133 | TF_LITE_ENSURE_OK(context, EvalAddN(context, node)); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:8334:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 8334 | for (int i = 1; i < tasks.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h: In instantiation of ‘void tflite::optimized_ops::AddN(const tflite::RuntimeShape&, size_t, const T* const*, T*, T*, tflite::CpuBackendContext*) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/add_n.cc:119:25: required from ‘TfLiteStatus tflite::ops::builtin::add_n::EvalAddN(TfLiteContext*, TfLiteNode*) [with T = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 119 | optimized_ops::AddN(GetTensorShape(input1), num_inputs, all_inputs.data(), | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 120 | GetTensorData(output), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 121 | GetTensorData(scratch_tensor), cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/add_n.cc:135:5: required from here 135 | TF_LITE_ENSURE_OK(context, EvalAddN(context, node)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:8334:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 8334 | for (int i = 1; i < tasks.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-div.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-div.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-div.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-div.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::AddNWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::AddNWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:8325:34: required from ‘void tflite::optimized_ops::AddN(const tflite::RuntimeShape&, size_t, const T* const*, T*, T*, tflite::CpuBackendContext*) [with T = float; size_t = long unsigned int]’ 8325 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 8326 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/add_n.cc:119:25: required from ‘TfLiteStatus tflite::ops::builtin::add_n::EvalAddN(TfLiteContext*, TfLiteNode*) [with T = float; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 119 | optimized_ops::AddN(GetTensorShape(input1), num_inputs, all_inputs.data(), | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 120 | GetTensorData(output), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 121 | GetTensorData(scratch_tensor), cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/add_n.cc:133:5: required from here 133 | TF_LITE_ENSURE_OK(context, EvalAddN(context, node)); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::AddNWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::AddNWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:8325:34: required from ‘void tflite::optimized_ops::AddN(const tflite::RuntimeShape&, size_t, const T* const*, T*, T*, tflite::CpuBackendContext*) [with T = int; size_t = long unsigned int]’ 8325 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 8326 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/add_n.cc:119:25: required from ‘TfLiteStatus tflite::ops::builtin::add_n::EvalAddN(TfLiteContext*, TfLiteNode*) [with T = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 119 | optimized_ops::AddN(GetTensorShape(input1), num_inputs, all_inputs.data(), | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 120 | GetTensorData(output), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 121 | GetTensorData(scratch_tensor), cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/add_n.cc:135:5: required from here 135 | TF_LITE_ENSURE_OK(context, EvalAddN(context, node)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-nr1.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-nr1.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-nr1.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-nr1.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-nr1.c [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-nr1adj.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-nr1adj.c.o -MF CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-nr1adj.c.o.d -o CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-nr1adj.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-gather-nr1adj.c [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-perm-div.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/math/gen/f32-tanh-avx512skx-expm1minus-rr1-lut8-p4h3ps-perm-div.c.o -MF 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_2x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512skx.c:71:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 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-fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/arg_min_max.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/arg_min_max.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/arg_min_max.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/arg_min_max.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_3x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512skx.c:77:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512skx.c:82:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512skx.c:245:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 245 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_4x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c:83:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c:88:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c:93:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c:282:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 282 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c:284:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_5x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c:89:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c:94:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c:99:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 99 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c:104:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 104 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c:319:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 319 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c:321:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 321 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c:323:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 323 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/arg_min_max.cc:24: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_6x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:95:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:100:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 100 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:105:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 105 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:110:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 110 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:115:83: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 115 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:356:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 356 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:358:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 358 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:360:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 360 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:362:34: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 362 | const __m256 vinput_scale5 = _mm256_broadcast_ss(&quantization_params[5].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_7x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:101:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 101 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:106:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 106 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:111:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 111 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:116:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 116 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:121:83: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 121 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:126:83: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 126 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:393:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 393 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:395:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 395 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:397:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 397 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:399:34: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 399 | const __m256 vinput_scale5 = _mm256_broadcast_ss(&quantization_params[5].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:401:34: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 401 | const __m256 vinput_scale6 = _mm256_broadcast_ss(&quantization_params[6].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_8x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:107:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 107 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:112:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 112 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:117:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 117 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:122:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 122 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:127:83: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 127 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:132:83: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 132 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:137:83: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 137 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:430:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 430 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:432:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 432 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:434:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 434 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:436:34: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 436 | const __m256 vinput_scale5 = _mm256_broadcast_ss(&quantization_params[5].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:438:34: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 438 | const __m256 vinput_scale6 = _mm256_broadcast_ss(&quantization_params[6].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:440:34: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 440 | const __m256 vinput_scale7 = _mm256_broadcast_ss(&quantization_params[7].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avx512skx.c [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_2x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512skx.c:70:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 70 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_3x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512skx.c:76:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 76 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512skx.c:81:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512skx.c:147:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 147 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_4x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c:82:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c:87:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c:92:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c:169:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 169 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c:171:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 171 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_5x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c:88:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c:93:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c:98:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 98 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c:103:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 103 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c:191:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 191 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c:193:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 193 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c:195:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 195 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c [ 83%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/assign_variable.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/assign_variable.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/assign_variable.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/assign_variable.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/assign_variable.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_6x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:94:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:99:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 99 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:104:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 104 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:109:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 109 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:114:83: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 114 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:213:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 213 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:215:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 215 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:217:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 217 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:219:34: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | const __m256 vinput_scale5 = _mm256_broadcast_ss(&quantization_params[5].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/assign_variable.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_7x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:100:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 100 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:105:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 105 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:110:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 110 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:115:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 115 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:120:83: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 120 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:125:83: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 125 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:235:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:237:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:239:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 239 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:241:34: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 241 | const __m256 vinput_scale5 = _mm256_broadcast_ss(&quantization_params[5].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:243:34: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 243 | const __m256 vinput_scale6 = _mm256_broadcast_ss(&quantization_params[6].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_8x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:106:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 106 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:111:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 111 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:116:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 116 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:121:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 121 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:126:83: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 126 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:131:83: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 131 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:136:83: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 136 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:257:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 257 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:259:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:261:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:263:34: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 263 | const __m256 vinput_scale5 = _mm256_broadcast_ss(&quantization_params[5].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:265:34: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 265 | const __m256 vinput_scale6 = _mm256_broadcast_ss(&quantization_params[6].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:267:34: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 267 | const __m256 vinput_scale7 = _mm256_broadcast_ss(&quantization_params[7].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-6x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-6x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-6x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-6x8c8-minmax-avx512skx.c [ 83%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/atan2.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512skx-prfm.c [ 83%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512skx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/audio_spectrogram.cc:24: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512skx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512skx.c:71:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx-prfm.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx-prfm.c:202:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 202 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/audio_spectrogram.cc:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/audio_spectrogram.cc: In instantiation of ‘TfLiteStatus tflite::ops::custom::audio_spectrogram::Eval(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::custom::audio_spectrogram::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/audio_spectrogram.cc:168:26: required from here 168 | audio_spectrogram::Eval}; | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:248:13: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 248 | if ((a) != (b)) { \ | ~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/audio_spectrogram.cc:140:5: note: in expansion of macro ‘TF_LITE_ENSURE_EQ’ 140 | TF_LITE_ENSURE_EQ(context, spectrogram_output.size(), | ^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/audio_spectrogram.cc:143:63: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const int64_t’ {aka ‘const long int’} [-Wsign-compare] 143 | (spectrogram_output[0].size() == output_width)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:248:13: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const int64_t’ {aka ‘const long int’} [-Wsign-compare] 248 | if ((a) != (b)) { \ | ~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/audio_spectrogram.cc:146:7: note: in expansion of macro ‘TF_LITE_ENSURE_EQ’ 146 | TF_LITE_ENSURE_EQ(context, spectrogram_row.size(), output_width); | ^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x16c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx.c:52:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 52 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx.c:197:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 197 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512skx.c:77:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512skx.c:82:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512skx.c:245:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 245 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx-prfm.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx-prfm.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx-prfm.c:237:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx-prfm.c:238:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 238 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x16c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx.c:58:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 58 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx.c:59:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx.c:232:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 232 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx.c:233:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 233 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c:83:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c:88:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c:93:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c:282:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 282 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c:284:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/basic_rnn.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/basic_rnn.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/basic_rnn.cc.o.d -o 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c:272:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 272 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c:273:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 273 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx-prfm.c:274:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 274 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c [ 84%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/batch_matmul.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/batch_matmul.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/batch_matmul.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/batch_matmul.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/batch_matmul.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x16c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c:64:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 64 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c:65:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c:66:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c:267:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 267 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c:268:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 268 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c:269:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 269 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c:89:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c:94:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c:99:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 99 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c:104:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 104 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c:319:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 319 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c:321:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 321 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c:323:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 323 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/batch_matmul.cc:26: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:307:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 307 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:308:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 308 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:309:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 309 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:310:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 310 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/batch_matmul.cc:29: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x16c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:70:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 70 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:71:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:72:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:73:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:302:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 302 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:303:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 303 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:304:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 304 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:305:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 305 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:95:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:100:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 100 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:105:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 105 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:110:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 110 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:115:83: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 115 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:356:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 356 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:358:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 358 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:360:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 360 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:362:34: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 362 | const __m256 vinput_scale5 = _mm256_broadcast_ss(&quantization_params[5].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:342:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 342 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:343:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 343 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:344:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 344 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:345:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 345 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:346:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 346 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/batch_matmul.h:113:31: required from here 113 | cpu_backend_gemm::Gemm(lhs_params, lhs_ptr2, rhs_params, rhs_ptr2, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | dst_params, out_ptr, gemm_params, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = signed char; RhsScalar = signed char; AccumScalar = int; DstScalar = signed char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = signed char; RhsScalar = signed char; AccumScalar = int; DstScalar = signed char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/batch_matmul.h:329:31: required from here 329 | cpu_backend_gemm::Gemm(lhs_params, lhs_ptr2, rhs_params, rhs_ptr2, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | dst_params, out_ptr, gemm_params, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x16c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:76:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 76 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:77:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:78:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:79:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:80:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:337:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 337 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:338:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 338 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:339:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 339 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:340:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 340 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:341:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 341 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:101:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 101 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:106:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 106 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:111:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 111 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:116:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 116 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:121:83: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 121 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:126:83: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 126 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:393:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 393 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:395:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 395 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:397:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 397 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:399:34: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 399 | const __m256 vinput_scale5 = _mm256_broadcast_ss(&quantization_params[5].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:401:34: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 401 | const __m256 vinput_scale6 = _mm256_broadcast_ss(&quantization_params[6].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:377:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 377 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:378:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 378 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:379:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 379 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:380:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 380 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:381:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 381 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:382:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 382 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x16c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:82:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:83:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:84:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:85:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:86:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:87:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:372:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 372 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:373:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 373 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:374:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 374 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:375:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 375 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:376:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 376 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:377:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 377 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:107:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 107 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:112:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 112 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:117:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 117 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:122:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 122 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:127:83: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 127 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:132:83: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 132 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:137:83: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 137 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:430:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 430 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:432:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 432 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:434:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 434 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:436:34: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 436 | const __m256 vinput_scale5 = _mm256_broadcast_ss(&quantization_params[5].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:438:34: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 438 | const __m256 vinput_scale6 = _mm256_broadcast_ss(&quantization_params[6].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:440:34: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 440 | const __m256 vinput_scale7 = _mm256_broadcast_ss(&quantization_params[7].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:412:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 412 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:413:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 413 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:414:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 414 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:415:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 415 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:416:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 416 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:417:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 417 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:418:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 418 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x16c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:88:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:89:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:90:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:91:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:92:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:93:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:94:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:407:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 407 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:408:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 408 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:409:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 409 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:410:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 410 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:411:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 411 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:412:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 412 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:413:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 413 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx-prfm.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx-prfm.c:121:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 121 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/batch_to_space_nd.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x16c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx.c:52:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 52 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx.c:118:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 118 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512skx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512skx.c:76:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 76 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512skx.c:81:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512skx.c:147:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 147 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx-prfm.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx-prfm.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx-prfm.c:143:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 143 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx-prfm.c:144:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 144 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x16c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx.c:58:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 58 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx.c:59:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx.c:140:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 140 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx.c:141:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 141 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c:82:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c:87:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c:92:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c:169:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 169 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c:171:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 171 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c:165:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 165 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c:166:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 166 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c:167:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 167 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x16c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c:64:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 64 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c:65:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c:66:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c:162:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 162 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c:163:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 163 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c:164:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 164 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_5x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c:88:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c:93:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c:98:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 98 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c:103:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 103 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c:191:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 191 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c:193:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 193 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c:195:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 195 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c [ 84%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/bidirectional_sequence_lstm.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/bidirectional_sequence_lstm.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/bidirectional_sequence_lstm.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/bidirectional_sequence_lstm.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/bidirectional_sequence_lstm.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_5x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:187:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 187 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:188:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 188 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:189:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 189 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:190:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 190 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/bidirectional_sequence_lstm.cc:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_5x16c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:70:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 70 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:71:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:72:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:73:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:184:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 184 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:185:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 185 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:186:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 186 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:187:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 187 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_6x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:94:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:99:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 99 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:104:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 104 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:109:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 109 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:114:83: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 114 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:213:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 213 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:215:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 215 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:217:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 217 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:219:34: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | const __m256 vinput_scale5 = _mm256_broadcast_ss(&quantization_params[5].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c [ 84%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/bidirectional_sequence_rnn.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/bidirectional_sequence_rnn.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/bidirectional_sequence_rnn.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/bidirectional_sequence_rnn.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/bidirectional_sequence_rnn.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_6x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:209:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:210:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 210 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:211:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 211 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:212:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 212 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:213:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 213 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_6x16c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:76:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 76 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:77:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:78:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:79:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:80:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:206:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 206 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:207:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 207 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:208:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 208 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:209:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:210:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 210 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512skx.c:29:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/bitcast.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/bitcast.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/bitcast.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/bitcast.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/bitcast.cc [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/bitcast.cc:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/bitcast.cc: In function ‘TfLiteStatus tflite::ops::builtin::bitcast::CalculateShape(TfLiteContext*, const TfLiteTensor*, const TfLiteTensor*, TfLiteIntArray**)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:248:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 248 | if ((a) != (b)) { \ | ~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/bitcast.cc:56:5: note: in expansion of macro ‘TF_LITE_ENSURE_EQ’ 56 | TF_LITE_ENSURE_EQ(context, input->dims->data[dims - 1], | ^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:100:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 100 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:105:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 105 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:110:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 110 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:115:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 115 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:120:83: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 120 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:125:83: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 125 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:235:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:237:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:239:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 239 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:241:34: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 241 | const __m256 vinput_scale5 = _mm256_broadcast_ss(&quantization_params[5].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:243:34: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 243 | const __m256 vinput_scale6 = _mm256_broadcast_ss(&quantization_params[6].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/bitwise_xor.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/bitwise_xor.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/bitwise_xor.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/bitwise_xor.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/bitwise_xor.cc [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:231:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 231 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:232:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 232 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:233:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 233 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:234:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:235:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:236:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 236 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c [ 84%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/broadcast_args.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/broadcast_args.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/broadcast_args.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/broadcast_args.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/broadcast_args.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x16c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:82:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:83:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:84:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:85:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:86:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:87:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:228:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 228 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:229:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 229 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:230:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 230 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:231:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 231 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:232:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 232 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:233:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 233 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512skx.c:29:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/broadcast_to.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/broadcast_to.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/broadcast_to.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/broadcast_to.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_8x8c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:106:83: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 106 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:111:83: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 111 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:116:83: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 116 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:121:83: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 121 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:126:83: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 126 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:131:83: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 131 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:136:83: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 136 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:257:34: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 257 | const __m256 vinput_scale2 = _mm256_broadcast_ss(&quantization_params[2].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:259:34: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | const __m256 vinput_scale3 = _mm256_broadcast_ss(&quantization_params[3].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:261:34: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | const __m256 vinput_scale4 = _mm256_broadcast_ss(&quantization_params[4].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:263:34: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 263 | const __m256 vinput_scale5 = _mm256_broadcast_ss(&quantization_params[5].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:265:34: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 265 | const __m256 vinput_scale6 = _mm256_broadcast_ss(&quantization_params[6].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:267:34: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 267 | const __m256 vinput_scale7 = _mm256_broadcast_ss(&quantization_params[7].inv_scale); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512skx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_8x16c8__avx512skx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:253:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 253 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:254:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 254 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:255:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 255 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:256:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 256 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:257:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 257 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:258:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 258 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:259:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx-prfm.c:30:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 30 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c [ 84%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/bucketize.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/bucketize.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/bucketize.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/bucketize.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/bucketize.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_8x16c8__avx512skx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:88:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:89:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:90:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:91:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:92:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:93:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:94:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:250:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 250 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:251:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 251 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:252:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 252 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:253:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 253 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:254:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 254 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:255:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 255 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:256:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 256 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512skx.c:29:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 29 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/bucketize.cc: In function ‘void* tflite::ops::builtin::bucketize::{anonymous}::Init(TfLiteContext*, const char*, size_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/bucketize.cc:49:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 49 | for (size_t i = 0; i < params->num_boundaries; i++, p++) | ~~^~~~~~~~~~~~~~~~~~~~~~~~ [ 84%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/call_once.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x16c8-minmax-avx512skx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/builtin_op_data.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/call_once.cc:22: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/call_once.cc: In function ‘TfLiteStatus tflite::ops::builtin::call_once_kernel::Prepare(TfLiteContext*, TfLiteNode*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/call_once.cc:73:56: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 73 | TF_LITE_ENSURE(context, op_data->init_subgraph_index < subgraphs->size()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x8c8-minmax-avx512skx.c.o cd 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c8-minmax-avx512skx-prfm.c [ 84%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 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-DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-8x8c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-8x8c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-8x8c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-8x8c8-minmax-avx512skx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/ceil.cc:17: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-8x16c8-minmax-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-8x16c8-minmax-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-8x16c8-minmax-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-8x16c8-minmax-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-8x16c8-minmax-avx512skx-prfm.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-8x16c8-minmax-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-8x16c8-minmax-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-8x16c8-minmax-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-8x16c8-minmax-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-8x16c8-minmax-avx512skx.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c16s1r-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c16s1r-minmax-fp32-avx512skx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c16s1r-minmax-fp32-avx512skx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c16s1r-minmax-fp32-avx512skx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l16c16s1r-minmax-fp32-avx512skx-mul32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l32c16s1r-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l32c16s1r-minmax-fp32-avx512skx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l32c16s1r-minmax-fp32-avx512skx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l32c16s1r-minmax-fp32-avx512skx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-5f5m5l32c16s1r-minmax-fp32-avx512skx-mul32.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c16s1r-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c16s1r-minmax-fp32-avx512skx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c16s1r-minmax-fp32-avx512skx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c16s1r-minmax-fp32-avx512skx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l16c16s1r-minmax-fp32-avx512skx-mul32.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l32c16s1r-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l32c16s1r-minmax-fp32-avx512skx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-6f6m7l32c16s1r-minmax-fp32-avx512skx-mul32.c.o.d -o 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-DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/comparisons.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/comparisons.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/comparisons.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/comparisons.cc [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l16c16s1r-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l32c16s1r-minmax-fp32-avx512skx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l32c16s1r-minmax-fp32-avx512skx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l32c16s1r-minmax-fp32-avx512skx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-dwconv/gen/qs8-dwconv-8f8m9l32c16s1r-minmax-fp32-avx512skx-mul32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/comparisons.cc:22: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-u48.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-u64.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-3p32c-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-3p32c-minmax-fp32-avx512skx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-3p32c-minmax-fp32-avx512skx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-3p32c-minmax-fp32-avx512skx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-3p32c-minmax-fp32-avx512skx-mul32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/concatenation.cc:26: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l16c16s1r-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l16c16s1r-minmax-fp32-avx512skx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l16c16s1r-minmax-fp32-avx512skx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l16c16s1r-minmax-fp32-avx512skx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l16c16s1r-minmax-fp32-avx512skx-mul32.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c16s1r-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c16s1r-minmax-fp32-avx512skx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c16s1r-minmax-fp32-avx512skx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c16s1r-minmax-fp32-avx512skx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-5f5m5l32c16s1r-minmax-fp32-avx512skx-mul32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s1r-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s1r-minmax-fp32-avx512skx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s1r-minmax-fp32-avx512skx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s1r-minmax-fp32-avx512skx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l16c16s1r-minmax-fp32-avx512skx-mul32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-6f6m7l32c16s1r-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT 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-DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/control_flow_common.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/control_flow_common.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/control_flow_common.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.cc [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-dwconv/gen/qs8-qc8w-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx512skx.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 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-DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avx512skx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/conv.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/conv.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c8-minmax-fp32-avx512skx-prfm.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c8-minmax-fp32-avx512skx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:33, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/conv.cc:38: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512skx.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x16c8-minmax-fp32-avx512skx-prfm.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x16c8-minmax-fp32-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512skx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = signed char; RhsScalar = signed char; AccumScalar = int; DstScalar = signed char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithPerRowMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = signed char; RhsScalar = signed char; AccumScalar = int; DstScalar = signed char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithPerRowMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/conv.h:122:25: required from ‘void tflite::optimized_integer_ops::ConvPerChannel(const tflite::ConvParams&, const int32*, const int32*, const tflite::RuntimeShape&, const InputScalar*, const tflite::RuntimeShape&, const int8*, const tflite::RuntimeShape&, const int32*, const tflite::RuntimeShape&, DstScalar*, const tflite::RuntimeShape&, InputScalar*, tflite::CpuBackendContext*) [with InputScalar = signed char; DstScalar = signed char; int32 = int; int8 = signed char]’ 122 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, gemm_input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 123 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/conv.cc:813:48: required from ‘void tflite::ops::builtin::conv::EvalQuantizedPerChannel(TfLiteContext*, TfLiteNode*, TfLiteConvParams*, OpData*, const TfLiteTensor*, const TfLiteTensor*, const TfLiteTensor*, TfLiteTensor*, TfLiteTensor*) [with KernelType kernel_type = tflite::ops::builtin::conv::kGenericOptimized; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; TfLiteTensor = TfLiteTensor]’ 813 | optimized_integer_ops::ConvPerChannel( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 814 | op_params, data->per_channel_output_multiplier.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 815 | data->per_channel_output_shift.data(), GetTensorShape(input), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 816 | GetTensorData(input), GetTensorShape(filter), filter_data, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 817 | GetTensorShape(bias), GetTensorData(bias), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 818 | GetTensorShape(output), GetTensorData(output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 819 | GetTensorShape(im2col), GetTensorData(im2col), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 820 | CpuBackendContext::GetFromContext(context)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/conv.cc:1250:43: required from ‘TfLiteStatus tflite::ops::builtin::conv::EvalImpl(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::conv::kGenericOptimized; TfLiteType input_type = kTfLiteUInt8; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 1250 | EvalQuantizedPerChannel(context, node, params, data, input, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1251 | filter, bias, output, im2col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/conv.cc:1305:13: required from here 1305 | conv::EvalImpl}; | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512skx.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c8-minmax-fp32-avx512skx-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/eigen_spatial_convolutions.h:43, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:32: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’: /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; Scalar = float; Index = long int]’ 894 | kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 895 | actual_nc); | ~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; Scalar = float]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; Scalar = float]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; Scalar = float]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1135:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 1135 | PacketBlock kernel; | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1175:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 1175 | PacketBlock kernel; | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1200:36: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 1200 | PacketBlock kernel; | ^~~~~~ [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c8-minmax-fp32-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = std::enable_if::type]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m128]’ 763 | return m_base_mapper.template loadPacketStandard( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 764 | i + m_depth_offset, m_rowIndex, m_colIndex, m_otherIndex); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ 1201 | kernel.packet[0] = dm0.loadPacketStandard(k); | ~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; Scalar = float; Index = long int]’ 894 | kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 895 | actual_nc); | ~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; Scalar = float]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:488:65: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 488 | const Index packetSize = internal::unpacket_traits::size; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’: /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 919 | kernel_.packRhs(&packed_rhs(n, k, n1, use_thread_local), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 920 | rhs_.getSubMapper(k * bk_, n1 * bn_), bk(k), bn(n1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 1056 | pack_rhs(start, k); | ^~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 1050 | enqueue_packing_helper(0, rhs ? nn_ : nm_, k, rhs); | ^~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::signal_switch(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 1027 | enqueue_packing(k, !shard_by_col_); | ^~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1135:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 1135 | PacketBlock kernel; | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1175:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 1175 | PacketBlock kernel; | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1200:36: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 1200 | PacketBlock kernel; | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’: /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 919 | kernel_.packRhs(&packed_rhs(n, k, n1, use_thread_local), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 920 | rhs_.getSubMapper(k * bk_, n1 * bn_), bk(k), bn(n1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 1056 | pack_rhs(start, k); | ^~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 1050 | enqueue_packing_helper(0, rhs ? nn_ : nm_, k, rhs); | ^~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::signal_switch(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 1027 | enqueue_packing(k, !shard_by_col_); | ^~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1135:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 1135 | PacketBlock kernel; | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1175:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 1175 | PacketBlock kernel; | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1200:36: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 1200 | PacketBlock kernel; | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’: /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 919 | kernel_.packRhs(&packed_rhs(n, k, n1, use_thread_local), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 920 | rhs_.getSubMapper(k * bk_, n1 * bn_), bk(k), bn(n1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 1056 | pack_rhs(start, k); | ^~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 1050 | enqueue_packing_helper(0, rhs ? nn_ : nm_, k, rhs); | ^~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::signal_switch(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 1027 | enqueue_packing(k, !shard_by_col_); | ^~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1135:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 1135 | PacketBlock kernel; | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1175:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 1175 | PacketBlock kernel; | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1200:36: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 1200 | PacketBlock kernel; | ^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m128]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:495:14: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = std::enable_if::type]’ 495 | return loadPacketFast(patchId, rowIndex, colIndex, otherIndex); | ^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m128]’ 763 | return m_base_mapper.template loadPacketStandard( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 764 | i + m_depth_offset, m_rowIndex, m_colIndex, m_otherIndex); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ 1201 | kernel.packet[0] = dm0.loadPacketStandard(k); | ~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; Scalar = float; Index = long int]’ 894 | kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 895 | actual_nc); | ~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:575:65: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 575 | const Index packetSize = internal::unpacket_traits::size; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m128]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:516:12: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = std::enable_if::type]’ 516 | return packetWithPossibleZero(patchId, rowIndex, colIndex, otherIndex); | ^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m128]’ 763 | return m_base_mapper.template loadPacketStandard( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 764 | i + m_depth_offset, m_rowIndex, m_colIndex, m_otherIndex); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ 1201 | kernel.packet[0] = dm0.loadPacketStandard(k); | ~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; Scalar = float; Index = long int]’ 894 | kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 895 | actual_nc); | ~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:603:63: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 603 | const int packetSize = internal::unpacket_traits::size; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = std::enable_if::type]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m128]’ 763 | return m_base_mapper.template loadPacketStandard( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 764 | i + m_depth_offset, m_rowIndex, m_colIndex, m_otherIndex); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ 1201 | kernel.packet[0] = dm0.loadPacketStandard(k); | ~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 919 | kernel_.packRhs(&packed_rhs(n, k, n1, use_thread_local), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 920 | rhs_.getSubMapper(k * bk_, n1 * bn_), bk(k), bn(n1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 1056 | pack_rhs(start, k); | ^~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:488:65: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 488 | const Index packetSize = internal::unpacket_traits::size; | ^~~~ [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512skx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = std::enable_if::type]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m128]’ 763 | return m_base_mapper.template loadPacketStandard( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 764 | i + m_depth_offset, m_rowIndex, m_colIndex, m_otherIndex); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ 1201 | kernel.packet[0] = dm0.loadPacketStandard(k); | ~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 919 | kernel_.packRhs(&packed_rhs(n, k, n1, use_thread_local), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 920 | rhs_.getSubMapper(k * bk_, n1 * bn_), bk(k), bn(n1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 1056 | pack_rhs(start, k); | ^~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:488:65: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 488 | const Index packetSize = internal::unpacket_traits::size; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = std::enable_if::type]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m128]’ 763 | return m_base_mapper.template loadPacketStandard( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 764 | i + m_depth_offset, m_rowIndex, m_colIndex, m_otherIndex); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ 1201 | kernel.packet[0] = dm0.loadPacketStandard(k); | ~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 919 | kernel_.packRhs(&packed_rhs(n, k, n1, use_thread_local), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 920 | rhs_.getSubMapper(k * bk_, n1 * bn_), bk(k), bn(n1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 1056 | pack_rhs(start, k); | ^~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:488:65: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 488 | const Index packetSize = internal::unpacket_traits::size; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m128]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:495:14: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = std::enable_if::type]’ 495 | return loadPacketFast(patchId, rowIndex, colIndex, otherIndex); | ^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m128]’ 763 | return m_base_mapper.template loadPacketStandard( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 764 | i + m_depth_offset, m_rowIndex, m_colIndex, m_otherIndex); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ 1201 | kernel.packet[0] = dm0.loadPacketStandard(k); | ~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 919 | kernel_.packRhs(&packed_rhs(n, k, n1, use_thread_local), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 920 | rhs_.getSubMapper(k * bk_, n1 * bn_), bk(k), bn(n1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:575:65: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 575 | const Index packetSize = internal::unpacket_traits::size; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m128]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:516:12: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = std::enable_if::type]’ 516 | return packetWithPossibleZero(patchId, rowIndex, colIndex, otherIndex); | ^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m128]’ 763 | return m_base_mapper.template loadPacketStandard( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 764 | i + m_depth_offset, m_rowIndex, m_colIndex, m_otherIndex); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ 1201 | kernel.packet[0] = dm0.loadPacketStandard(k); | ~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 919 | kernel_.packRhs(&packed_rhs(n, k, n1, use_thread_local), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 920 | rhs_.getSubMapper(k * bk_, n1 * bn_), bk(k), bn(n1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:603:63: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 603 | const int packetSize = internal::unpacket_traits::size; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m128]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:495:14: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = std::enable_if::type]’ 495 | return loadPacketFast(patchId, rowIndex, colIndex, otherIndex); | ^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m128]’ 763 | return m_base_mapper.template loadPacketStandard( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 764 | i + m_depth_offset, m_rowIndex, m_colIndex, m_otherIndex); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ 1201 | kernel.packet[0] = dm0.loadPacketStandard(k); | ~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 919 | kernel_.packRhs(&packed_rhs(n, k, n1, use_thread_local), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 920 | rhs_.getSubMapper(k * bk_, n1 * bn_), bk(k), bn(n1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:575:65: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 575 | const Index packetSize = internal::unpacket_traits::size; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m128]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:516:12: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = std::enable_if::type]’ 516 | return packetWithPossibleZero(patchId, rowIndex, colIndex, otherIndex); | ^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Packet = __m128]’ 763 | return m_base_mapper.template loadPacketStandard( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 764 | i + m_depth_offset, m_rowIndex, m_colIndex, m_otherIndex); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ 1201 | kernel.packet[0] = dm0.loadPacketStandard(k); | ~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 919 | kernel_.packRhs(&packed_rhs(n, k, n1, use_thread_local), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 920 | rhs_.getSubMapper(k * bk_, n1 * bn_), bk(k), bn(n1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:603:63: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 603 | const int packetSize = internal::unpacket_traits::size; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m128]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:495:14: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = std::enable_if::type]’ 495 | return loadPacketFast(patchId, rowIndex, colIndex, otherIndex); | ^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m128]’ 763 | return m_base_mapper.template loadPacketStandard( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 764 | i + m_depth_offset, m_rowIndex, m_colIndex, m_otherIndex); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ 1201 | kernel.packet[0] = dm0.loadPacketStandard(k); | ~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 919 | kernel_.packRhs(&packed_rhs(n, k, n1, use_thread_local), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 920 | rhs_.getSubMapper(k * bk_, n1 * bn_), bk(k), bn(n1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:575:65: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 575 | const Index packetSize = internal::unpacket_traits::size; | ^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m128]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:516:12: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = std::enable_if::type]’ 516 | return packetWithPossibleZero(patchId, rowIndex, colIndex, otherIndex); | ^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Packet = __m128]’ 763 | return m_base_mapper.template loadPacketStandard( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 764 | i + m_depth_offset, m_rowIndex, m_colIndex, m_otherIndex); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ 1201 | kernel.packet[0] = dm0.loadPacketStandard(k); | ~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>; RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ 919 | kernel_.packRhs(&packed_rhs(n, k, n1, use_thread_local), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 920 | rhs_.getSubMapper(k * bk_, n1 * bn_), bk(k), bn(n1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 164 | return m_impl.evalSubExprsIfNeeded(data); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EvaluatorPointerType = float*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = EigenForTFLite::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ 129 | output.device(device) = | ~~~~~~~~~~~~~~~~~~~~~~^ 130 | Eigen::SpatialConvolution(input, filter, stride_cols, stride_rows, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | RuntimePadding2EigenPadding(padding)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here 171 | conv_functor(device, input_data, batches, input_height, input_width, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 172 | input_depth, filter_data, filter_height, filter_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | output_depth, stride_height, stride_width, pad_height, pad_width, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | padding, output_data, output_height, output_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:603:63: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 603 | const int packetSize = internal::unpacket_traits::size; | ^~~~ [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512skx.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c8-minmax-fp32-avx512skx-prfm.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c8-minmax-fp32-avx512skx.c [ 85%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/conv3d.cc:24: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/conv3d.cc:25: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u16.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u16.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u16.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/conv3d.cc: In function ‘TfLiteStatus tflite::ops::builtin::conv3d::EvalFloat(KernelType, TfLiteContext*, TfLiteNode*, TfLiteConv3DParams*, OpData*, const TfLiteTensor*, const TfLiteTensor*, const TfLiteTensor*, TfLiteTensor*, TfLiteTensor*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/conv3d.cc:245:1: warning: control reaches end of non-void function [-Wreturn-type] 245 | } | ^ [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u32.c [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u48.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u48.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u48.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u48.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u48.c [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-u64.c [ 86%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x8c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x8c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x8c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-1x8c8-minmax-fp32-avx512skx.c [ 86%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx-prfm.c [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx.c [ 86%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/conv3d_transpose.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/tensorflow-lite.dir/kernels/conv3d_transpose.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/conv3d_transpose.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/conv3d_transpose.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/conv3d_transpose.cc [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x8c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 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-DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x16c8-minmax-fp32-avx512skx.c.o -c 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x8c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x8c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x8c8-minmax-fp32-avx512skx.c.o.d 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warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx-prfm.c [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx.c [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x8c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x8c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x8c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x8c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-4x8c8-minmax-fp32-avx512skx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx-prfm.c [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx.c [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-5x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-5x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-5x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-5x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-5x16c8-minmax-fp32-avx512skx-prfm.c [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-5x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-5x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-5x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-5x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-5x16c8-minmax-fp32-avx512skx.c [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-6x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-6x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-6x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-6x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-6x16c8-minmax-fp32-avx512skx-prfm.c [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-6x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-6x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-6x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-6x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-6x16c8-minmax-fp32-avx512skx.c [ 86%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/cpu_backend_context.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/tensorflow-lite.dir/kernels/cpu_backend_context.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/cpu_backend_context.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/cpu_backend_context.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.cc [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-7x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-7x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-7x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-7x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-7x16c8-minmax-fp32-avx512skx-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-7x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-7x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-7x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-7x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-7x16c8-minmax-fp32-avx512skx.c [ 86%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/cpu_backend_gemm_eigen.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src 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-fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/cpu_backend_gemm_eigen.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/cpu_backend_gemm_eigen.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/cpu_backend_gemm_eigen.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_eigen.cc [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-8x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-8x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-8x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-8x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-8x16c8-minmax-fp32-avx512skx-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_eigen.h:21, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_eigen.cc:18: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-8x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-8x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-8x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-8x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-gemm/gen/qu8-gemm-8x16c8-minmax-fp32-avx512skx.c [ 86%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx512skx.c [ 86%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx-prfm.c [ 86%] 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx.c [ 86%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx512skx.c [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-2x16c8-minmax-fp32-avx512skx-prfm.c [ 86%] 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-DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-3x16c8-minmax-fp32-avx512skx.c [ 86%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x8c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x8c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x8c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x8c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-4x8c8-minmax-fp32-avx512skx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cumsum.cc:18: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-5x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-5x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-5x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-5x16c8-minmax-fp32-avx512skx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-5x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-5x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-5x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-5x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-5x16c8-minmax-fp32-avx512skx.c [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-6x16c8-minmax-fp32-avx512skx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-6x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-6x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-6x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-6x16c8-minmax-fp32-avx512skx-prfm.c [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-6x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-6x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-6x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-6x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-6x16c8-minmax-fp32-avx512skx.c [ 87%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-7x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-7x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-7x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-7x16c8-minmax-fp32-avx512skx-prfm.c [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-7x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-7x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-7x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-7x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-7x16c8-minmax-fp32-avx512skx.c [ 87%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-8x16c8-minmax-fp32-avx512skx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-8x16c8-minmax-fp32-avx512skx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-8x16c8-minmax-fp32-avx512skx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-8x16c8-minmax-fp32-avx512skx-prfm.c [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-8x16c8-minmax-fp32-avx512skx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-8x16c8-minmax-fp32-avx512skx.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-8x16c8-minmax-fp32-avx512skx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-8x16c8-minmax-fp32-avx512skx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-igemm/gen/qu8-igemm-8x16c8-minmax-fp32-avx512skx.c [ 87%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/densify.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/depth_to_space.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/depth_to_space.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/depth_to_space.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/depth_to_space.cc [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-u32.c [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u64.c [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u128.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u128.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u128.c [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u192.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u192.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u192.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u192.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u192.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/depth_to_space.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u256.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u256.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u256.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u256.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-u256.c [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vbmi -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-u64.c [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-u128.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vbmi -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-u128.c.o -MF CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-u128.c.o.d -o CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-u128.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-u128.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-u192.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c [ 87%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/depthwise_conv.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/depthwise_conv.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/depthwise_conv.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/depthwise_conv.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/depthwise_conv.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_2x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c:142:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 142 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_2x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni.c:139:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 139 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/depthwise_conv.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/depthwise_conv.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_3x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:159:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 159 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:160:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 160 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/depthwise_conv.h:32: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_3x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni.c:156:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 156 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni.c:157:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 157 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_4x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:184:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 184 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:185:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 185 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:186:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 186 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_4x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c:181:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 181 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c:182:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 182 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c:183:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 183 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_integer_ops::DepthwiseConvWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_integer_ops::DepthwiseConvWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/depthwise_conv.h:2020:36: required from here 2020 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2021 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_integer_ops::DepthwiseConvHybridWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_integer_ops::DepthwiseConvHybridWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/depthwise_conv_hybrid.h:503:36: required from here 503 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_5x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:209:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:210:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 210 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:211:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 211 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:212:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 212 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::DepthwiseConvWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::DepthwiseConvWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/depthwiseconv_multithread.h:182:34: required from ‘void tflite::optimized_ops::DepthwiseConv(const tflite::DepthwiseParams&, const tflite::RuntimeShape&, const T*, const tflite::RuntimeShape&, const T*, const tflite::RuntimeShape&, const TS*, const tflite::RuntimeShape&, T*, tflite::CpuBackendContext*) [with T = float; TS = float]’ 182 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/depthwise_conv.cc:329:47: required from ‘TfLiteStatus tflite::ops::builtin::depthwise_conv::EvalFloat(TfLiteContext*, TfLiteNode*, TfLiteDepthwiseConvParams*, OpData*, const TfLiteTensor*, const TfLiteTensor*, const TfLiteTensor*, TfLiteTensor*) [with KernelType kernel_type = tflite::ops::builtin::depthwise_conv::kNeonOptimized; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; TfLiteTensor = TfLiteTensor]’ 329 | optimized_ops::DepthwiseConv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 330 | op_params, GetTensorShape(input), GetTensorData(input), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 331 | GetTensorShape(filter), GetTensorData(filter), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 332 | GetTensorShape(bias), GetTensorData(bias), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | GetTensorShape(output), GetTensorData(output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | CpuBackendContext::GetFromContext(context)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/depthwise_conv.cc:592:38: required from ‘TfLiteStatus tflite::ops::builtin::depthwise_conv::EvalImpl(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::depthwise_conv::kNeonOptimized; TfLiteType input_type = kTfLiteUInt8; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 592 | return EvalFloat(context, node, params, data, input, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 593 | filter, bias, output); | ~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/depthwise_conv.cc:670:23: required from here 670 | depthwise_conv::EvalImpl}; | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::DepthwiseConvWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::DepthwiseConvWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/depthwiseconv_multithread.h:182:34: required from ‘void tflite::optimized_ops::DepthwiseConv(const tflite::DepthwiseParams&, const tflite::RuntimeShape&, const T*, const tflite::RuntimeShape&, const T*, const tflite::RuntimeShape&, const TS*, const tflite::RuntimeShape&, T*, tflite::CpuBackendContext*) [with T = unsigned char; TS = int]’ 182 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/depthwise_conv.cc:373:47: required from ‘TfLiteStatus tflite::ops::builtin::depthwise_conv::EvalQuantized(TfLiteContext*, TfLiteNode*, TfLiteDepthwiseConvParams*, OpData*, const TfLiteTensor*, const TfLiteTensor*, const TfLiteTensor*, TfLiteTensor*) [with KernelType kernel_type = tflite::ops::builtin::depthwise_conv::kNeonOptimized; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; TfLiteTensor = TfLiteTensor]’ 373 | optimized_ops::DepthwiseConv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 374 | op_params, GetTensorShape(input), GetTensorData(input), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | GetTensorShape(filter), GetTensorData(filter), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 376 | GetTensorShape(bias), GetTensorData(bias), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 377 | GetTensorShape(output), GetTensorData(output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 378 | CpuBackendContext::GetFromContext(context)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/depthwise_conv.cc:605:40: required from ‘TfLiteStatus tflite::ops::builtin::depthwise_conv::EvalImpl(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::depthwise_conv::kNeonOptimized; TfLiteType input_type = kTfLiteUInt8; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 605 | return EvalQuantized(context, node, params, data, input, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 606 | filter, bias, output); | ~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/depthwise_conv.cc:670:23: required from here 670 | depthwise_conv::EvalImpl}; | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_5x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:206:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 206 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:207:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 207 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:208:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 208 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:209:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_6x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:234:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:235:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:236:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 236 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:237:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:238:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 238 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_6x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:231:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 231 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:232:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 232 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:233:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 233 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:234:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:235:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_7x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:259:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:260:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 260 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:261:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:262:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 262 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:263:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 263 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:264:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 264 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_7x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:256:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 256 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:257:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 257 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:258:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 258 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:259:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:260:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 260 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:261:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_8x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:284:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:285:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 285 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:286:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 286 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:287:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 287 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:288:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 288 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:289:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 289 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:290:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 290 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_8x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:281:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 281 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:282:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 282 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:283:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 283 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:284:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:285:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 285 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:286:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 286 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:287:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 287 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avx512vnni.c [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_2x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c:134:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 134 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni.c [ 87%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/dequantize.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/dequantize.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/dequantize.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/dequantize.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/dequantize.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_2x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni.c:130:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 130 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_3x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:150:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 150 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:151:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 151 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_3x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni.c:146:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 146 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni.c:147:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 147 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/dequantize.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/dequantize.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_4x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:174:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 174 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:175:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 175 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:176:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 176 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_4x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c:170:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 170 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c:171:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 171 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c:172:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 172 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_5x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:198:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 198 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:199:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 199 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:200:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 200 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:201:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 201 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_5x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:194:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 194 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:195:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 195 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:196:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 196 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:197:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 197 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_6x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:222:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 222 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:223:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 223 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:224:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 224 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:225:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 225 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:226:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 226 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_6x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:218:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 218 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:219:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:220:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 220 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:221:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 221 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:222:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 222 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_7x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:246:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 246 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:247:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 247 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:248:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 248 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:249:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 249 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:250:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 250 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:251:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 251 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/detection_postprocess.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/detection_postprocess.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/detection_postprocess.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/detection_postprocess.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/detection_postprocess.cc [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_7x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:242:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 242 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:243:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 243 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:244:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 244 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:245:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 245 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:246:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 246 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:247:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 247 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_8x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:270:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 270 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:271:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 271 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:272:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 272 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:273:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 273 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:274:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 274 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:275:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 275 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:276:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 276 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_8x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:266:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 266 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:267:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 267 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:268:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 268 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:269:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 269 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:270:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 270 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:271:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 271 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:272:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 272 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/detection_postprocess.cc:27: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avx512vnni.c [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-2x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-2x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-2x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-2x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-2x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/detection_postprocess.cc: In function ‘void tflite::ops::custom::detection_postprocess::SelectDetectionsAboveScoreThreshold(const std::vector&, float, std::vector*, std::vector*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/detection_postprocess.cc:380:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 380 | for (int i = 0; i < values.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/detection_postprocess.cc: In function ‘TfLiteStatus tflite::ops::custom::detection_postprocess::NonMaxSuppressionSingleClassHelper(TfLiteContext*, TfLiteNode*, OpData*, const std::vector&, int, std::vector*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/detection_postprocess.cc:469:55: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 469 | if (num_active_candidate == 0 || selected->size() >= output_size) break; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/detection_postprocess.cc: In function ‘TfLiteStatus tflite::ops::custom::detection_postprocess::ComputeNMSResult(const NMSTaskParam&, int, int, int&, std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/detection_postprocess.cc:550:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 550 | for (int i = 0; i < selected.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/detection_postprocess.cc: In function ‘TfLiteStatus tflite::ops::custom::detection_postprocess::NonMaxSuppressionMultiClassRegularHelper(TfLiteContext*, TfLiteNode*, OpData*, const float*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/detection_postprocess.cc:684:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 684 | for (int j = 0; j < tasks.size(); ++j) { | ~~^~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-2x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-2x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-2x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-2x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-2x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::custom::detection_postprocess::NonMaxSuppressionWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::custom::detection_postprocess::NonMaxSuppressionWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/detection_postprocess.cc:680:36: required from here 680 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 681 | CpuBackendContext::GetFromContext(context)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 87%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-3x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/dilate.cc: In function ‘void tflite::ops::builtin::dilate::{anonymous}::DilateImpl(const char*, char*, const char*, int32_t, const int32_t*, const int32_t*, const int32_t*, const int32_t*, size_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/dilate.cc:80:17: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int32_t’ {aka ‘const int’} [-Wsign-compare] 80 | if (depth + 1 >= size) { | ~~~~~~~~~~^~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/dilate.cc:81:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 81 | for (size_t i = 0; i + 1 < num_elts; ++i) { | ~~~~~~^~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/dilate.cc:89:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 89 | for (size_t i = 0; i + 1 < num_elts; ++i) { | ~~~~~~^~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/array.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/dilate.cc:21: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/dilate.cc: In function ‘TfLiteStatus tflite::ops::builtin::dilate::{anonymous}::Prepare(TfLiteContext*, TfLiteNode*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/dilate.cc:266:56: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 266 | TF_LITE_ENSURE(context, ctx.input_tensor->dims->size <= kMaxDilateDims); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ [ 88%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/div.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avx512vnni-prfm.c [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avx512vnni.c [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/div.cc:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnni.c [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnni-prfm.c [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512vnni.c [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c:142:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 142 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni.c:139:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 139 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni-prfm.c [ 88%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/dynamic_update_slice.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/dynamic_update_slice.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/dynamic_update_slice.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/dynamic_update_slice.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/dynamic_update_slice.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni-prfm.c:116:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 116 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x16c4__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni.c:113:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 113 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni-prfm.c:147:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 147 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x16c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni.c:142:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 142 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/dynamic_update_slice.cc:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:159:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 159 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:160:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 160 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni.c:156:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 156 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni.c:157:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 157 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni-prfm.c:136:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 136 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni-prfm.c:137:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 137 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x16c4__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni.c:133:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 133 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni.c:134:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 134 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni-prfm.c:177:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 177 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni-prfm.c:178:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 178 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x16c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni.c:172:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 172 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni.c:173:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 173 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c [ 88%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/eigen_support.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/eigen_support.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/eigen_support.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/eigen_support.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/eigen_support.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:184:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 184 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:185:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 185 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:186:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 186 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c:181:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 181 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c:182:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 182 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c:183:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 183 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c:156:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 156 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c:157:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 157 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c:158:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 158 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x16c4__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c:153:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 153 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c:154:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 154 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c:155:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 155 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c:191:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 191 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c:192:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 192 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c:193:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 193 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c [ 88%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/elementwise.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/elementwise.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/elementwise.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/elementwise.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/elementwise.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x16c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c:186:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 186 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c:187:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 187 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c:188:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 188 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:209:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:210:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 210 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:211:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 211 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:212:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 212 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/elementwise.cc:28: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:206:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 206 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:207:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 207 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:208:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 208 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:209:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:176:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 176 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:177:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 177 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:178:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 178 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:179:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 179 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c [ 88%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/embedding_lookup.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/embedding_lookup.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/embedding_lookup.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/embedding_lookup.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/embedding_lookup.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x16c4__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:173:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 173 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:174:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 174 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:175:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 175 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:176:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 176 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c [ 88%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/embedding_lookup_sparse.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/embedding_lookup_sparse.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/embedding_lookup_sparse.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/embedding_lookup_sparse.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/embedding_lookup_sparse.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:217:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 217 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:218:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 218 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:219:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:220:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 220 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x16c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:212:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 212 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:213:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 213 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:214:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 214 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:215:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 215 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/embedding_lookup_sparse.cc: In function ‘TfLiteStatus tflite::ops::builtin::{anonymous}::Eval(TfLiteContext*, TfLiteNode*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/embedding_lookup_sparse.cc:256:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 256 | for (int k = 0; k < embedding_size; k++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/embedding_lookup_sparse.cc:259:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 259 | if (current_output_offset + k >= output_size) continue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/embedding_lookup_sparse.cc:261:40: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 261 | if (example_embedding_offset + k >= values_size) continue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:234:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:235:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:236:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 236 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:237:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:238:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 238 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c [ 88%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/exp.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/exp.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/exp.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/exp.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/exp.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:231:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 231 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:232:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 232 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:233:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 233 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:234:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:235:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:196:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 196 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:197:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 197 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:198:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 198 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:199:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 199 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:200:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 200 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/exp.cc:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x16c4__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:193:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 193 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:194:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 194 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:195:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 195 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:196:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 196 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:197:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 197 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c [ 88%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/expand_dims.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/expand_dims.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/expand_dims.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/expand_dims.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/expand_dims.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:243:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 243 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:244:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 244 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:245:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 245 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:246:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 246 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:247:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 247 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x16c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:238:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 238 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:239:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 239 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:240:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 240 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:241:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 241 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:242:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 242 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/expand_dims.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 88%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/fake_quant.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/fake_quant.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/fake_quant.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/fake_quant.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fake_quant.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:259:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:260:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 260 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:261:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:262:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 262 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:263:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 263 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:264:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 264 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:256:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 256 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:257:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 257 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:258:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 258 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:259:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:260:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 260 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:261:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:216:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 216 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:217:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 217 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:218:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 218 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:219:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:220:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 220 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:221:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 221 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fake_quant.cc:17: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c [ 88%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/fill.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/fill.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/fill.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/fill.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fill.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x16c4__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:213:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 213 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:214:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 214 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:215:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 215 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:216:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 216 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:217:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 217 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:218:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 218 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:269:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 269 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:270:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 270 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:271:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 271 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:272:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 272 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:273:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 273 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:274:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 274 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fill.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x16c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:264:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 264 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:265:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 265 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:266:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 266 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:267:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 267 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:268:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 268 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:269:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 269 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c [ 88%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/floor.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/floor.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/floor.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/floor.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/floor.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:284:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:285:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 285 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:286:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 286 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:287:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 287 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:288:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 288 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:289:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 289 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:290:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 290 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:281:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 281 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:282:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 282 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:283:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 283 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:284:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:285:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 285 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:286:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 286 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:287:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 287 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:236:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 236 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:237:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:238:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 238 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:239:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 239 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:240:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 240 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:241:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 241 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:242:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 242 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/floor.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x16c4__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:233:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 233 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:234:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:235:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:236:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 236 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:237:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:238:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 238 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:239:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 239 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:295:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 295 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:296:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 296 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:297:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 297 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:298:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 298 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:299:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 299 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:300:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 300 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:301:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 301 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x16c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:290:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 290 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:291:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 291 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:292:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 292 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:293:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 293 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:294:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 294 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:295:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 295 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:296:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 296 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avx512vnni-prfm.c [ 88%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni 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&& /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x16c8-minmax-avx512vnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/floor_div.cc:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c [ 89%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/floor_mod.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/floor_mod.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/floor_mod.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/floor_mod.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/floor_mod.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c:134:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 134 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni.c:130:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 130 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni-prfm.c:111:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 111 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/floor_mod.cc:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x16c4__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni.c:107:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 107 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni-prfm.c [ 89%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/fully_connected.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/fully_connected.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/fully_connected.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/fully_connected.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fully_connected.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni-prfm.c:140:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 140 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x16c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni.c:133:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 133 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/fully_connected.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fully_connected.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:150:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 150 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:151:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 151 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni.c:146:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 146 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni.c:147:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 147 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fully_connected.cc:29: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni-prfm.c:130:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 130 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni-prfm.c:131:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 131 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x16c4__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni.c:126:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 126 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni.c:127:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 127 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni-prfm.c:169:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 169 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni-prfm.c:170:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 170 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::FullyConnectedSparseWeight1x4Task]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::FullyConnectedSparseWeight1x4Task]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/sparse_ops/fully_connected.h:262:34: required from here 262 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 263 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::builtin::fully_connected::SparseHybridFullyConnectedTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::builtin::fully_connected::SparseHybridFullyConnectedTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fully_connected.cc:1105:34: required from here 1105 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1106 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x16c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni.c:162:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 162 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni.c:163:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 163 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = signed char; RhsScalar = signed char; AccumScalar = int; DstScalar = signed char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithPerRowMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = signed char; RhsScalar = signed char; AccumScalar = int; DstScalar = signed char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithPerRowMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/fully_connected.h:95:25: required from ‘void tflite::optimized_integer_ops::FullyConnectedPerChannel(const tflite::FullyConnectedParams&, const int32*, const int*, const tflite::RuntimeShape&, const InputScalar*, const tflite::RuntimeShape&, const int8*, const tflite::RuntimeShape&, const int32*, const tflite::RuntimeShape&, DstScalar*, tflite::CpuBackendContext*) [with InputScalar = signed char; DstScalar = signed char; int32 = int; int8 = signed char]’ 95 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 96 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fully_connected.cc:1209:52: required from ‘void tflite::ops::builtin::fully_connected::{anonymous}::FullyConnectedPerChannelInt8(const tflite::ops::builtin::fully_connected::OpData*, const TfLiteTensor*, const TfLiteTensor*, const TfLiteTensor*, TfLiteTensor*, tflite::CpuBackendContext*) [with tflite::ops::builtin::fully_connected::KernelType kernel_type = tflite::ops::builtin::fully_connected::kReference; TfLiteTensor = TfLiteTensor]’ 1209 | optimized_integer_ops::FullyConnectedPerChannel( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 1210 | op_params, data->per_channel_output_multiplier.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1211 | data->per_channel_output_shift.data(), GetTensorShape(input), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1212 | GetTensorData(input), GetTensorShape(filter), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1213 | GetTensorData(filter), GetTensorShape(bias), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1214 | GetTensorData(bias), GetTensorShape(output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1215 | GetTensorData(output), cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fully_connected.cc:1388:69: required from ‘TfLiteStatus tflite::ops::builtin::fully_connected::EvalQuantized(TfLiteContext*, TfLiteNode*, TfLiteFullyConnectedParams*, OpData*, const TfLiteTensor*, const TfLiteTensor*, const TfLiteTensor*, TfLiteTensor*) [with KernelType kernel_type = tflite::ops::builtin::fully_connected::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; TfLiteTensor = TfLiteTensor]’ 1388 | is_per_channel ? FullyConnectedPerChannelInt8( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 1389 | data, input, filter, bias, output, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1390 | CpuBackendContext::GetFromContext(context)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fully_connected.cc:1638:42: required from ‘TfLiteStatus tflite::ops::builtin::fully_connected::Eval(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::fully_connected::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 1638 | return EvalQuantized(context, node, params, data, input, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1639 | filter, bias, output); | ~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fully_connected.cc:1675:24: required from here 1675 | fully_connected::Eval}; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = signed char; RhsScalar = signed char; AccumScalar = int; DstScalar = signed char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = signed char; RhsScalar = signed char; AccumScalar = int; DstScalar = signed char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/fully_connected.h:164:25: required from ‘void tflite::optimized_integer_ops::FullyConnected(const tflite::FullyConnectedParams&, const tflite::RuntimeShape&, const InputScalar*, const tflite::RuntimeShape&, const int8*, const tflite::RuntimeShape&, const int32*, const tflite::RuntimeShape&, DstScalar*, tflite::CpuBackendContext*) [with InputScalar = signed char; DstScalar = signed char; int8 = signed char; int32 = int]’ 164 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 166 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fully_connected.cc:1148:42: required from ‘void tflite::ops::builtin::fully_connected::{anonymous}::FullyConnectedInt8(const tflite::ops::builtin::fully_connected::OpData*, const TfLiteTensor*, const TfLiteTensor*, const TfLiteTensor*, TfLiteTensor*, tflite::CpuBackendContext*) [with tflite::ops::builtin::fully_connected::KernelType kernel_type = tflite::ops::builtin::fully_connected::kReference; TfLiteTensor = TfLiteTensor]’ 1148 | optimized_integer_ops::FullyConnected( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 1149 | op_params, GetTensorShape(input), GetTensorData(input), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1150 | GetTensorShape(filter), filter_data, GetTensorShape(bias), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1151 | GetTensorData(bias), GetTensorShape(output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1152 | GetTensorData(output), cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fully_connected.cc:1391:59: required from ‘TfLiteStatus tflite::ops::builtin::fully_connected::EvalQuantized(TfLiteContext*, TfLiteNode*, TfLiteFullyConnectedParams*, OpData*, const TfLiteTensor*, const TfLiteTensor*, const TfLiteTensor*, TfLiteTensor*) [with KernelType kernel_type = tflite::ops::builtin::fully_connected::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; TfLiteTensor = TfLiteTensor]’ 1391 | : FullyConnectedInt8( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 1392 | data, input, filter, bias, output, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1393 | CpuBackendContext::GetFromContext(context)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fully_connected.cc:1638:42: required from ‘TfLiteStatus tflite::ops::builtin::fully_connected::Eval(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::fully_connected::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 1638 | return EvalQuantized(context, node, params, data, input, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1639 | filter, bias, output); | ~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/fully_connected.cc:1675:24: required from here 1675 | fully_connected::Eval}; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:174:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 174 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:175:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 175 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:176:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 176 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c:170:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 170 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c:171:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 171 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c:172:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 172 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c:149:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 149 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c:150:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 150 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c:151:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 151 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x16c4__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c:145:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 145 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c:146:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 146 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c:147:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 147 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c:182:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 182 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c:183:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 183 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c:184:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 184 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x16c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c:175:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 175 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c:176:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 176 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c:177:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 177 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_5x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:198:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 198 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:199:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 199 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:200:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 200 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:201:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 201 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_5x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:194:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 194 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:195:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 195 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:196:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 196 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:197:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 197 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_5x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:168:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 168 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:169:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 169 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:170:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 170 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:171:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 171 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_5x16c4__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:164:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 164 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:165:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 165 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:166:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 166 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:167:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 167 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_5x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:207:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 207 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:208:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 208 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:209:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:210:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 210 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_5x16c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:200:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 200 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:201:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 201 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:202:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 202 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:203:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 203 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_6x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:222:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 222 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:223:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 223 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:224:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 224 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:225:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 225 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:226:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 226 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_6x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:218:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 218 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:219:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:220:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 220 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:221:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 221 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:222:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 222 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_6x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:187:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 187 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:188:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 188 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:189:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 189 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:190:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 190 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:191:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 191 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_6x16c4__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:183:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 183 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:184:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 184 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:185:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 185 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:186:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 186 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:187:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 187 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c4-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_6x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:232:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 232 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:233:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 233 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:234:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:235:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:236:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 236 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_6x16c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:225:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 225 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:226:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 226 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:227:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 227 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:228:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 228 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:229:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 229 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x16c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:246:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 246 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:247:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 247 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:248:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 248 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:249:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 249 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:250:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 250 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:251:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 251 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:242:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 242 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:243:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 243 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:244:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 244 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:245:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 245 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:246:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 246 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:247:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 247 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:206:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 206 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:207:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 207 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:208:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 208 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:209:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:210:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 210 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:211:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 211 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x16c4__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:202:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 202 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:203:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 203 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:204:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 204 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:205:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 205 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:206:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 206 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:207:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 207 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:257:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 257 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:258:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 258 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:259:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:260:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 260 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:261:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:262:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 262 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x16c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:250:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 250 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:251:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 251 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:252:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 252 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:253:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 253 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:254:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 254 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:255:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 255 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_8x8c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:270:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 270 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:271:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 271 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:272:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 272 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:273:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 273 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:274:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 274 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:275:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 275 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:276:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 276 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_8x8c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:266:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 266 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:267:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 267 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:268:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 268 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:269:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 269 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:270:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 270 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:271:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 271 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:272:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 272 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_8x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:225:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 225 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:226:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 226 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:227:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 227 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:228:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 228 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:229:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 229 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:230:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 230 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:231:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 231 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_8x16c4__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:221:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 221 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:222:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 222 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:223:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 223 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:224:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 224 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:225:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 225 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:226:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 226 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:227:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 227 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c4-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c [ 89%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/gather.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/gather.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/gather.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/gather.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/gather.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_8x16c8__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:282:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 282 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:283:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 283 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:284:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:285:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 285 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:286:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 286 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:287:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 287 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:288:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 288 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_8x16c8__avx512vnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:275:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 275 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:276:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 276 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:277:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 277 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:278:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 278 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:279:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 279 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:280:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 280 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:281:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 281 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x16c8-minmax-avx512vnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_16x16c4__avx512vnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:138:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 138 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:139:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 139 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:140:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 140 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:141:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 141 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:142:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 142 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:143:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 143 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:144:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 144 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:145:81: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 145 | const __m512i vinput_zero_point8 = _mm512_set1_epi32((int) quantization_params[8].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:146:81: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 146 | const __m512i vinput_zero_point9 = _mm512_set1_epi32((int) quantization_params[9].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:147:82: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 147 | const __m512i vinput_zero_point10 = _mm512_set1_epi32((int) quantization_params[10].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:148:82: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 148 | const __m512i vinput_zero_point11 = _mm512_set1_epi32((int) quantization_params[11].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:149:82: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 149 | const __m512i vinput_zero_point12 = _mm512_set1_epi32((int) quantization_params[12].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:150:82: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 150 | const __m512i vinput_zero_point13 = _mm512_set1_epi32((int) quantization_params[13].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:151:82: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 151 | const __m512i vinput_zero_point14 = _mm512_set1_epi32((int) quantization_params[14].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:152:82: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 152 | const __m512i vinput_zero_point15 = _mm512_set1_epi32((int) quantization_params[15].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:377:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 377 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:378:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 378 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:379:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 379 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:380:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 380 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:381:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 381 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:382:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 382 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:383:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 383 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:384:108: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 384 | vscaled8x0123456789ABCDEF = _mm512_mul_ps(vscaled8x0123456789ABCDEF, _mm512_set1_ps(quantization_params[8].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:385:108: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 385 | vscaled9x0123456789ABCDEF = _mm512_mul_ps(vscaled9x0123456789ABCDEF, _mm512_set1_ps(quantization_params[9].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:386:110: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 386 | vscaled10x0123456789ABCDEF = _mm512_mul_ps(vscaled10x0123456789ABCDEF, _mm512_set1_ps(quantization_params[10].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:387:110: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 387 | vscaled11x0123456789ABCDEF = _mm512_mul_ps(vscaled11x0123456789ABCDEF, _mm512_set1_ps(quantization_params[11].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:388:110: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 388 | vscaled12x0123456789ABCDEF = _mm512_mul_ps(vscaled12x0123456789ABCDEF, _mm512_set1_ps(quantization_params[12].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:389:110: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 389 | vscaled13x0123456789ABCDEF = _mm512_mul_ps(vscaled13x0123456789ABCDEF, _mm512_set1_ps(quantization_params[13].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:390:110: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 390 | vscaled14x0123456789ABCDEF = _mm512_mul_ps(vscaled14x0123456789ABCDEF, _mm512_set1_ps(quantization_params[14].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:391:110: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 391 | vscaled15x0123456789ABCDEF = _mm512_mul_ps(vscaled15x0123456789ABCDEF, _mm512_set1_ps(quantization_params[15].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512vnni-prfm.c:32:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/gather.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx512vnni-prfm.c [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avx512vnni.c [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c8-minmax-avx512vnni-prfm.c [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni 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-DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x16c8-minmax-avx512vnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/gather_nd.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x8c8-minmax-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x8c8-minmax-avx512vnni.c [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c4-minmax-avx512vnni-prfm.c [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c4-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c8-minmax-avx512vnni-prfm.c [ 89%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-3x16c8-minmax-avx512vnni.c [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x16c4-minmax-avx512vnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/gru_cell.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/gru_cell.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x16c8-minmax-avx512vnni-prfm.c [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x16c8-minmax-avx512vnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/gru_cell.cc:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avx512vnni-prfm.c [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x16c4-minmax-avx512vnni.c [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni 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-fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/hashtable_find.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/hashtable_find.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/hashtable_find.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/hashtable_find.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/hashtable_import.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 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-DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x16c8-minmax-fp32-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x16c8-minmax-fp32-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x16c8-minmax-fp32-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x16c8-minmax-fp32-avx512vnni.c [ 90%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/hashtable_lookup.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 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-fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/hashtable_lookup.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/hashtable_lookup.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/hashtable_lookup.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/hashtable_lookup.cc [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx512vnni-prfm.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx512vnni-prfm.c [ 90%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/hashtable_size.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/tensorflow-lite.dir/kernels/hashtable_size.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/hashtable_size.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/hashtable_size.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/hashtable_size.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/hashtable_size.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avx512vnni.c [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x16c4-minmax-fp32-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c4-minmax-fp32-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c4-minmax-fp32-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c4-minmax-fp32-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c4-minmax-fp32-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/if.cc:26: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c4-minmax-fp32-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c8-minmax-fp32-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c8-minmax-fp32-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c8-minmax-fp32-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x16c8-minmax-fp32-avx512vnni.c [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/context_util.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/if.cc:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/if.cc: In function ‘TfLiteStatus tflite::ops::builtin::if_kernel::Prepare(TfLiteContext*, TfLiteNode*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/if.cc:78:56: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 78 | TF_LITE_ENSURE(context, op_data->then_subgraph_index < subgraphs->size()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/if.cc:79:56: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 79 | TF_LITE_ENSURE(context, op_data->else_subgraph_index < subgraphs->size()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:248:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 248 | if ((a) != (b)) { \ | ~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/if.cc:85:5: note: in expansion of macro ‘TF_LITE_ENSURE_EQ’ 85 | TF_LITE_ENSURE_EQ(context, num_inputs, subgraph->inputs().size()); | ^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:248:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 248 | if ((a) != (b)) { \ | ~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/if.cc:86:5: note: in expansion of macro ‘TF_LITE_ENSURE_EQ’ 86 | TF_LITE_ENSURE_EQ(context, num_outputs, subgraph->outputs().size()); | ^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/if.cc:27: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::CopyTensorsShapeAndType(TfLiteContext*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&, bool) [with SrcVector = std::vector; DstVector = std::vector; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/if.cc:98:5: required from here 99 | context, CopyTensorsShapeAndType(context, this_subgraph, node_inputs, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 100 | subgraph, subgraph->inputs(), true)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:46:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 46 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::DeepOrShallowCopyTensorsShapeTypeData(TfLiteContext*, TfLiteNode*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&) [with SrcVector = std::vector; DstVector = std::vector; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/if.cc:161:3: required from here 162 | context, DeepOrShallowCopyTensorsShapeTypeData( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 163 | context, node, this_subgraph, node_inputs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | active_branch_subgraph, active_branch_subgraph->inputs())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:122:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 122 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:141:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 141 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::CopyTensorsShapeAndType(TfLiteContext*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&, bool) [with SrcVector = std::vector; DstVector = tflite::TfLiteIntArrayView; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/if.cc:216:3: required from here 218 | CopyTensorsShapeAndType(context, active_branch_subgraph, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 219 | active_branch_subgraph->outputs(), this_subgraph, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 220 | TfLiteIntArrayView(node->outputs), false)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:46:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 46 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::CopyTensorsData(TfLiteContext*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&) [with SrcVector = std::vector; DstVector = tflite::TfLiteIntArrayView; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:110:3: required from ‘TfLiteStatus tflite::ops::builtin::DeepCopyTensorsShapeTypeData(TfLiteContext*, TfLiteNode*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&, bool) [with SrcVector = std::vector; DstVector = tflite::TfLiteIntArrayView; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 111 | CopyTensorsData(context, src_subgraph, src_tensor_indices, /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/if.cc:173:3: required from here 174 | DeepCopyTensorsShapeTypeData( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 175 | context, node, active_branch_subgraph, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 176 | active_branch_subgraph->outputs(), this_subgraph, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 177 | TfLiteIntArrayView(node->outputs), true)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:77:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 77 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x16c4-minmax-fp32-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni 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-DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/l2norm.cc:18: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 90%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x16c8-minmax-fp32-avx512vnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 91%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avx512vnni-prfm.c [ 91%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 91%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c4-minmax-fp32-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c4-minmax-fp32-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c4-minmax-fp32-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c4-minmax-fp32-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c4-minmax-fp32-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 91%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c4-minmax-fp32-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c4-minmax-fp32-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c4-minmax-fp32-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c4-minmax-fp32-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c4-minmax-fp32-avx512vnni.c [ 91%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c8-minmax-fp32-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c8-minmax-fp32-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x16c8-minmax-fp32-avx512vnni-prfm.c.o.d -o 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x8c8-minmax-fp32-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x8c8-minmax-fp32-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x8c8-minmax-fp32-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x8c8-minmax-fp32-avx512vnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/local_response_norm.cc:17: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c4-minmax-fp32-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c4-minmax-fp32-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c4-minmax-fp32-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c4-minmax-fp32-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c4-minmax-fp32-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c4-minmax-fp32-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c4-minmax-fp32-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c4-minmax-fp32-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c4-minmax-fp32-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c4-minmax-fp32-avx512vnni.c [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c8-minmax-fp32-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avx512vnni-prfm.c [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avx512vnni.c [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c4-minmax-fp32-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c4-minmax-fp32-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c4-minmax-fp32-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c4-minmax-fp32-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c4-minmax-fp32-avx512vnni-prfm.c [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x16c4-minmax-fp32-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 92%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/lsh_projection.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api 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-DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avx512vnni-prfm.c [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c4-minmax-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:26: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c4-minmax-avx512vnni.c [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c8-minmax-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:29: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x16c8-minmax-avx512vnni.c [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avx512vnni-prfm.c [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc: In function ‘TfLiteStatus tflite::ops::builtin::lstm::full::{anonymous}::PopulateQuantizedLstmParams8x8_8(TfLiteContext*, TfLiteNode*, tflite::ops::builtin::lstm_eval::IntegerLstmParameter*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:547:11: warning: variable ‘input_to_input_weight_ptr’ set but not used [-Wunused-but-set-variable] 547 | int8_t* input_to_input_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:548:11: warning: variable ‘recurrent_to_input_weight_ptr’ set but not used [-Wunused-but-set-variable] 548 | int8_t* recurrent_to_input_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:549:11: warning: variable ‘cell_to_input_weight_ptr’ set but not used [-Wunused-but-set-variable] 549 | int8_t* cell_to_input_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:550:11: warning: variable ‘input_to_forget_weight_ptr’ set but not used [-Wunused-but-set-variable] 550 | int8_t* input_to_forget_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:551:11: warning: variable ‘recurrent_to_forget_weight_ptr’ set but not used [-Wunused-but-set-variable] 551 | int8_t* recurrent_to_forget_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:552:11: warning: variable ‘cell_to_forget_weight_ptr’ set but not used [-Wunused-but-set-variable] 552 | int8_t* cell_to_forget_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:553:11: warning: variable ‘input_to_cell_weight_ptr’ set but not used [-Wunused-but-set-variable] 553 | int8_t* input_to_cell_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:554:11: warning: variable ‘recurrent_to_cell_weight_ptr’ set but not used [-Wunused-but-set-variable] 554 | int8_t* recurrent_to_cell_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:555:11: warning: variable ‘input_to_output_weight_ptr’ set but not used [-Wunused-but-set-variable] 555 | int8_t* input_to_output_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:556:11: warning: variable ‘recurrent_to_output_weight_ptr’ set but not used [-Wunused-but-set-variable] 556 | int8_t* recurrent_to_output_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:557:11: warning: variable ‘cell_to_output_weight_ptr’ set but not used [-Wunused-but-set-variable] 557 | int8_t* cell_to_output_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:558:11: warning: variable ‘projection_weight_ptr’ set but not used [-Wunused-but-set-variable] 558 | int8_t* projection_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:559:12: warning: variable ‘layer_norm_input_weight_ptr’ set but not used [-Wunused-but-set-variable] 559 | int16_t* layer_norm_input_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:560:12: warning: variable ‘layer_norm_forget_weight_ptr’ set but not used [-Wunused-but-set-variable] 560 | int16_t* layer_norm_forget_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:561:12: warning: variable ‘layer_norm_cell_weight_ptr’ set but not used [-Wunused-but-set-variable] 561 | int16_t* layer_norm_cell_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:562:12: warning: variable ‘layer_norm_output_weight_ptr’ set but not used [-Wunused-but-set-variable] 562 | int16_t* layer_norm_output_weight_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:563:12: warning: variable ‘input_gate_bias_ptr’ set but not used [-Wunused-but-set-variable] 563 | int32_t* input_gate_bias_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:564:12: warning: variable ‘forget_gate_bias_ptr’ set but not used [-Wunused-but-set-variable] 564 | int32_t* forget_gate_bias_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:565:12: warning: variable ‘cell_gate_bias_ptr’ set but not used [-Wunused-but-set-variable] 565 | int32_t* cell_gate_bias_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:566:12: warning: variable ‘output_gate_bias_ptr’ set but not used [-Wunused-but-set-variable] 566 | int32_t* output_gate_bias_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:567:12: warning: variable ‘projection_bias_ptr’ set but not used [-Wunused-but-set-variable] 567 | int32_t* projection_bias_ptr = nullptr; | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:568:12: warning: variable ‘cell_ptr’ set but not used [-Wunused-but-set-variable] 568 | int16_t* cell_ptr = nullptr; | ^~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:569:11: warning: variable ‘output_state_ptr’ set but not used [-Wunused-but-set-variable] 569 | int8_t* output_state_ptr = nullptr; | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:607:7: warning: variable ‘input_zp’ set but not used [-Wunused-but-set-variable] 607 | int input_zp = 0; | ^~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm.cc:608:7: warning: variable ‘output_state_zp’ set but not used [-Wunused-but-set-variable] 608 | int output_state_zp = 0; | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x16c4-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x16c4-minmax-avx512vnni.c.o -c 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-5x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-5x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-5x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-5x16c8-minmax-avx512vnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm_eval.cc:353:1: warning: multi-line comment [-Wcomment] 353 | // LINT.ThenChange(../tools/optimize/calibration/builtin_logging_ops/lstm.cc,\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm_eval.cc:995:1: warning: multi-line comment [-Wcomment] 995 | // LINT.ThenChange(../tools/optimize/calibration/builtin_logging_ops/lstm.cc,\ | ^ [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-5x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-5x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-5x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-5x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-5x16c8-minmax-avx512vnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm_eval.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm_eval.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x8c8-minmax-fp32-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x8c8-minmax-fp32-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x8c8-minmax-fp32-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x8c8-minmax-fp32-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x8c8-minmax-fp32-avx512vnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/lstm_eval.cc:34: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x8c8-minmax-fp32-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x8c8-minmax-fp32-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x8c8-minmax-fp32-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x8c8-minmax-fp32-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x8c8-minmax-fp32-avx512vnni.c [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c4-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c4-minmax-avx512vnni-prfm.c [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c4-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c8-minmax-avx512vnni-prfm.c [ 92%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-6x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c4-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c4-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c4-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c4-minmax-avx512vnni-prfm.c [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c4-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c4-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c4-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c4-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c4-minmax-avx512vnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/matrix_diag.cc:18: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c8-minmax-avx512vnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c8-minmax-avx512vnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c8-minmax-avx512vnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c8-minmax-avx512vnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c8-minmax-avx512vnni-prfm.c [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c8-minmax-avx512vnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c8-minmax-avx512vnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c8-minmax-avx512vnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c8-minmax-avx512vnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x16c8-minmax-avx512vnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-1x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-1x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-1x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-1x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-1x8c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-1x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-1x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-1x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-1x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-1x8c8-minmax-avx512vnnigfni.c [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c [ 93%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/matrix_set_diag.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/matrix_set_diag.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/matrix_set_diag.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/matrix_set_diag.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/matrix_set_diag.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_2x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c:141:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 141 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_2x8c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c:138:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 138 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_3x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:158:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 158 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:159:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 159 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_3x8c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:155:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 155 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:156:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 156 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/matrix_set_diag.cc:18: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_4x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:183:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 183 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:184:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 184 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:185:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 185 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_4x8c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:180:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 180 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:181:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 181 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:182:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 182 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_5x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:208:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 208 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:209:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:210:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 210 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:211:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 211 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c.o /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_5x8c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:205:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 205 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:206:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 206 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:207:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 207 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:208:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 208 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_6x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:233:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 233 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:234:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:235:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:236:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 236 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:237:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/maximum_minimum.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/maximum_minimum.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/maximum_minimum.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/maximum_minimum.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_6x8c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:230:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 230 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:231:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 231 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:232:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 232 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:233:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 233 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:234:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_7x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:258:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 258 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:259:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:260:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 260 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:261:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:262:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 262 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:263:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 263 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_7x8c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:255:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 255 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:256:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 256 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:257:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 257 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:258:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 258 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:259:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:260:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 260 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/maximum_minimum.cc:21: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_8x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:283:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 283 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:284:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:285:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 285 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:286:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 286 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:287:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 287 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:288:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 288 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:289:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 289 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_8x8c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:280:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 280 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:281:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 281 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:282:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 282 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:283:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 283 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:284:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:285:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 285 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:286:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 286 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnnigfni-prfm.c [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x8c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnnigfni-prfm.c [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c4-minmax-avx512vnnigfni.c [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-1x16c8-minmax-avx512vnnigfni-prfm.c.o.d -o 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-DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/mfcc.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/mfcc.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/mfcc.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mfcc.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c:141:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 141 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x8c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c:138:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 138 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x16c4__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni-prfm.c:116:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 116 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mfcc.cc:27: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x16c4__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni.c:113:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 113 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x16c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni-prfm.c:146:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 146 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x16c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni.c:141:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 141 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:158:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 158 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:159:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 159 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mfcc.cc:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mfcc.cc: In instantiation of ‘TfLiteStatus tflite::ops::custom::mfcc::Eval(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::custom::mfcc::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mfcc.cc:167:40: required from here 167 | mfcc::Eval}; | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:248:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 248 | if ((a) != (b)) { \ | ~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mfcc.cc:148:7: note: in expansion of macro ‘TF_LITE_ENSURE_EQ’ 148 | TF_LITE_ENSURE_EQ(context, params->dct_coefficient_count, | ^~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x8c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:155:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 155 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:156:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 156 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x16c4__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni-prfm.c:136:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 136 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni-prfm.c:137:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 137 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x16c4__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni.c:133:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 133 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni.c:134:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 134 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x16c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni-prfm.c:176:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 176 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni-prfm.c:177:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 177 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/mirror_pad.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src 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-fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/mirror_pad.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/mirror_pad.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/mirror_pad.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mirror_pad.cc [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x16c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni.c:171:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 171 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni.c:172:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 172 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mirror_pad.cc:26: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:183:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 183 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:184:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 184 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:185:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 185 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x8c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:180:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 180 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:181:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 181 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:182:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 182 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mirror_pad.cc:28: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x16c4__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c:156:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 156 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c:157:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 157 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c:158:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 158 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x16c4__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c:153:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 153 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c:154:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 154 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c:155:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 155 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x16c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c:190:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 190 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c:191:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 191 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c:192:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 192 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::builtin::mirror_pad::{anonymous}::MirrorPadWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::builtin::mirror_pad::{anonymous}::MirrorPadWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mirror_pad.cc:230:7: required from here 225 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 226 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::builtin::mirror_pad::{anonymous}::MirrorPadWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::builtin::mirror_pad::{anonymous}::MirrorPadWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mirror_pad.cc:234:7: required from here 225 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 226 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::builtin::mirror_pad::{anonymous}::MirrorPadWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::builtin::mirror_pad::{anonymous}::MirrorPadWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mirror_pad.cc:238:7: required from here 225 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 226 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::builtin::mirror_pad::{anonymous}::MirrorPadWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::builtin::mirror_pad::{anonymous}::MirrorPadWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mirror_pad.cc:242:7: required from here 225 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 226 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::builtin::mirror_pad::{anonymous}::MirrorPadWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::builtin::mirror_pad::{anonymous}::MirrorPadWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mirror_pad.cc:246:7: required from here 225 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 226 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::builtin::mirror_pad::{anonymous}::MirrorPadWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::builtin::mirror_pad::{anonymous}::MirrorPadWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mirror_pad.cc:250:7: required from here 225 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 226 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x16c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c:185:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 185 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c:186:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 186 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c:187:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 187 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:208:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 208 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:209:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:210:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 210 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:211:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 211 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x8c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:205:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 205 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:206:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 206 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:207:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 207 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:208:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 208 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x16c4__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:176:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 176 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:177:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 177 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:178:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 178 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:179:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 179 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x16c4__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:173:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 173 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:174:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 174 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:175:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 175 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:176:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 176 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x16c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:216:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 216 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:217:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 217 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:218:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 218 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:219:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x16c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:211:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 211 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:212:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 212 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:213:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 213 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:214:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 214 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c [ 93%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/mul.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/mul.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/mul.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/mul.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mul.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:233:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 233 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:234:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:235:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:236:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 236 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:237:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x8c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:230:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 230 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:231:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 231 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:232:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 232 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:233:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 233 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:234:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x16c4__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:196:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 196 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:197:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 197 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:198:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 198 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:199:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 199 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:200:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 200 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/mul.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/mul.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x16c4__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:193:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 193 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:194:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 194 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:195:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 195 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:196:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 196 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:197:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 197 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x16c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:242:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 242 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:243:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 243 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:244:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 244 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:245:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 245 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:246:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 246 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x16c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:237:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:238:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 238 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:239:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 239 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:240:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 240 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:241:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 241 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:258:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 258 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:259:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:260:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 260 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:261:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:262:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 262 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:263:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 263 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x8c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:255:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 255 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:256:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 256 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:257:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 257 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:258:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 258 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:259:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:260:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 260 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x16c4__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:216:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 216 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:217:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 217 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:218:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 218 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:219:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:220:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 220 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:221:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 221 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x16c4__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:213:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 213 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:214:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 214 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:215:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 215 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:216:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 216 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:217:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 217 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:218:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 218 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x16c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:268:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 268 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:269:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 269 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:270:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 270 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:271:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 271 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:272:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 272 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:273:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 273 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 93%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x16c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:263:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 263 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:264:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 264 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:265:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 265 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:266:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 266 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:267:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 267 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:268:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 268 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x8c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:283:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 283 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:284:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:285:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 285 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:286:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 286 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:287:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 287 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:288:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 288 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:289:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 289 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/multinomial.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/multinomial.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/multinomial.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/multinomial.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/multinomial.cc [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x8c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:280:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 280 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:281:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 281 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:282:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 282 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:283:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 283 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:284:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:285:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 285 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:286:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 286 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avx512vnnigfni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c [ 94%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/neg.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/neg.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/neg.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/neg.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/neg.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x16c4__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:236:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 236 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:237:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:238:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 238 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:239:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 239 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:240:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 240 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:241:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 241 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:242:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 242 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x16c4__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:233:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 233 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:234:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:235:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:236:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 236 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:237:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:238:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 238 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:239:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 239 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c4-minmax-avx512vnnigfni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x16c8__avx512vnnigfni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:294:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 294 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:295:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 295 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:296:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 296 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:297:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 297 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:298:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 298 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:299:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 299 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:300:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 300 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/neg.cc:21: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x16c8__avx512vnnigfni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m512i vinput_zero_point1 = _mm512_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m512i vinput_zero_point2 = _mm512_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m512i vinput_zero_point3 = _mm512_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m512i vinput_zero_point4 = _mm512_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m512i vinput_zero_point5 = _mm512_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m512i vinput_zero_point6 = _mm512_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m512i vinput_zero_point7 = _mm512_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:289:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 289 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:290:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 290 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:291:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 291 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:292:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 292 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:293:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 293 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:294:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 294 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:295:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 295 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x16c8-minmax-avx512vnnigfni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x64c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x64c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x64c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x64c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x64c4-minmax-avx512amx.c [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_7x64c4__avx512amx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:175:123: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 175 | __m512i vacc1x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[1].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:179:123: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 179 | __m512i vacc2x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[2].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:183:123: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 183 | __m512i vacc3x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[3].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:187:123: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 187 | __m512i vacc4x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[4].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:191:123: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 191 | __m512i vacc5x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[5].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:195:123: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 195 | __m512i vacc6x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[6].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:261:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:265:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 265 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:269:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 269 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:273:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 273 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:277:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 277 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:281:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 281 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_16x64c4__avx512amx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:292:123: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 292 | __m512i vacc1x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[1].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:296:123: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 296 | __m512i vacc2x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[2].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:300:123: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 300 | __m512i vacc3x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[3].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:304:123: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 304 | __m512i vacc4x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[4].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:308:123: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 308 | __m512i vacc5x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[5].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:312:123: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 312 | __m512i vacc6x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[6].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:316:123: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 316 | __m512i vacc7x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[7].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:320:123: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 320 | __m512i vacc8x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[8].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:324:123: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 324 | __m512i vacc9x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[9].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:328:124: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 328 | __m512i vacc10x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[10].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:332:124: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 332 | __m512i vacc11x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[11].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:336:124: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 336 | __m512i vacc12x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[12].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:340:124: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 340 | __m512i vacc13x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[13].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:344:124: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 344 | __m512i vacc14x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[14].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:348:124: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 348 | __m512i vacc15x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[15].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:486:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 486 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:490:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 490 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:494:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 494 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:498:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 498 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:502:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 502 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:506:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 506 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:510:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 510 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:514:108: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 514 | vscaled8x0123456789ABCDEF = _mm512_mul_ps(vscaled8x0123456789ABCDEF, _mm512_set1_ps(quantization_params[8].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:518:108: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 518 | vscaled9x0123456789ABCDEF = _mm512_mul_ps(vscaled9x0123456789ABCDEF, _mm512_set1_ps(quantization_params[9].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:522:110: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 522 | vscaled10x0123456789ABCDEF = _mm512_mul_ps(vscaled10x0123456789ABCDEF, _mm512_set1_ps(quantization_params[10].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:526:110: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 526 | vscaled11x0123456789ABCDEF = _mm512_mul_ps(vscaled11x0123456789ABCDEF, _mm512_set1_ps(quantization_params[11].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:530:110: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 530 | vscaled12x0123456789ABCDEF = _mm512_mul_ps(vscaled12x0123456789ABCDEF, _mm512_set1_ps(quantization_params[12].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:534:110: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 534 | vscaled13x0123456789ABCDEF = _mm512_mul_ps(vscaled13x0123456789ABCDEF, _mm512_set1_ps(quantization_params[13].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:538:110: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 538 | vscaled14x0123456789ABCDEF = _mm512_mul_ps(vscaled14x0123456789ABCDEF, _mm512_set1_ps(quantization_params[14].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:542:110: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 542 | vscaled15x0123456789ABCDEF = _mm512_mul_ps(vscaled15x0123456789ABCDEF, _mm512_set1_ps(quantization_params[15].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c [ 94%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/non_max_suppression.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/non_max_suppression.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/non_max_suppression.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/non_max_suppression.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/non_max_suppression.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_16x64c4__avx512amx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:211:123: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 211 | __m512i vacc1x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[1].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:215:123: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 215 | __m512i vacc2x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[2].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:219:123: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | __m512i vacc3x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[3].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:223:123: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 223 | __m512i vacc4x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[4].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:227:123: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 227 | __m512i vacc5x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[5].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:231:123: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 231 | __m512i vacc6x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[6].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:235:123: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | __m512i vacc7x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[7].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:239:123: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 239 | __m512i vacc8x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[8].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:243:123: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 243 | __m512i vacc9x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[9].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:247:124: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 247 | __m512i vacc10x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[10].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:251:124: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 251 | __m512i vacc11x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[11].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:255:124: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 255 | __m512i vacc12x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[12].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:259:124: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | __m512i vacc13x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[13].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:263:124: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 263 | __m512i vacc14x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[14].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:267:124: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 267 | __m512i vacc15x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[15].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:405:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 405 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:409:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 409 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:413:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 413 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:417:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 417 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:421:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 421 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:425:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 425 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:429:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 429 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:433:108: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 433 | vscaled8x0123456789ABCDEF = _mm512_mul_ps(vscaled8x0123456789ABCDEF, _mm512_set1_ps(quantization_params[8].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:437:108: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 437 | vscaled9x0123456789ABCDEF = _mm512_mul_ps(vscaled9x0123456789ABCDEF, _mm512_set1_ps(quantization_params[9].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:441:110: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 441 | vscaled10x0123456789ABCDEF = _mm512_mul_ps(vscaled10x0123456789ABCDEF, _mm512_set1_ps(quantization_params[10].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:445:110: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 445 | vscaled11x0123456789ABCDEF = _mm512_mul_ps(vscaled11x0123456789ABCDEF, _mm512_set1_ps(quantization_params[11].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:449:110: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 449 | vscaled12x0123456789ABCDEF = _mm512_mul_ps(vscaled12x0123456789ABCDEF, _mm512_set1_ps(quantization_params[12].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:453:110: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 453 | vscaled13x0123456789ABCDEF = _mm512_mul_ps(vscaled13x0123456789ABCDEF, _mm512_set1_ps(quantization_params[13].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:457:110: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 457 | vscaled14x0123456789ABCDEF = _mm512_mul_ps(vscaled14x0123456789ABCDEF, _mm512_set1_ps(quantization_params[14].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:461:110: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 461 | vscaled15x0123456789ABCDEF = _mm512_mul_ps(vscaled15x0123456789ABCDEF, _mm512_set1_ps(quantization_params[15].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x64c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-16x64c4-minmax-avx512amx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-16x64c4-minmax-avx512amx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-16x64c4-minmax-avx512amx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-16x64c4-minmax-avx512amx-prfm.c [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-16x64c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-16x64c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-16x64c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-16x64c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-16x64c4-minmax-avx512amx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/dequantize.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/numeric_verify.cc:26: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x16c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x16c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x16c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x16c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x16c4-minmax-avx512amx.c [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x32c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni 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-DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x64c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x64c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x64c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x64c4-minmax-avx512amx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x16c4__avx512amx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:148:123: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 148 | __m512i vacc1x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[1].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:149:123: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 149 | __m512i vacc2x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[2].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:150:123: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 150 | __m512i vacc3x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[3].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:151:123: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 151 | __m512i vacc4x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[4].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:152:123: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 152 | __m512i vacc5x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[5].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:153:123: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 153 | __m512i vacc6x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[6].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:171:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 171 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:172:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 172 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:173:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 173 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:174:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 174 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:175:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 175 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:176:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 176 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x16c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x32c4__avx512amx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:157:123: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 157 | __m512i vacc1x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[1].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:159:123: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 159 | __m512i vacc2x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[2].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:161:123: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 161 | __m512i vacc3x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[3].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:163:123: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 163 | __m512i vacc4x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[4].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:165:123: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 165 | __m512i vacc5x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[5].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:167:123: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 167 | __m512i vacc6x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[6].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:201:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 201 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:203:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 203 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:205:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 205 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:207:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 207 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:209:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:211:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 211 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x32c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x64c4__avx512amx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:175:123: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 175 | __m512i vacc1x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[1].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:179:123: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 179 | __m512i vacc2x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[2].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:183:123: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 183 | __m512i vacc3x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[3].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:187:123: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 187 | __m512i vacc4x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[4].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:191:123: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 191 | __m512i vacc5x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[5].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:195:123: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 195 | __m512i vacc6x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[6].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:261:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:265:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 265 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:269:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 269 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:273:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 273 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:277:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 277 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:281:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 281 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x64c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c [ 94%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/one_hot.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/one_hot.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/one_hot.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/one_hot.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/one_hot.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_16x16c4__avx512amx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:217:123: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 217 | __m512i vacc1x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[1].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:218:123: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 218 | __m512i vacc2x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[2].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:219:123: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | __m512i vacc3x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[3].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:220:123: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 220 | __m512i vacc4x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[4].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:221:123: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 221 | __m512i vacc5x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[5].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:222:123: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 222 | __m512i vacc6x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[6].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:223:123: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 223 | __m512i vacc7x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[7].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:224:123: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 224 | __m512i vacc8x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[8].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:225:123: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 225 | __m512i vacc9x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[9].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:226:124: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 226 | __m512i vacc10x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[10].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:227:124: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 227 | __m512i vacc11x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[11].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:228:124: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 228 | __m512i vacc12x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[12].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:229:124: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 229 | __m512i vacc13x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[13].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:230:124: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 230 | __m512i vacc14x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[14].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:231:124: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 231 | __m512i vacc15x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[15].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:267:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 267 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:268:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 268 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:269:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 269 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:270:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 270 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:271:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 271 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:272:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 272 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:273:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 273 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:274:108: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 274 | vscaled8x0123456789ABCDEF = _mm512_mul_ps(vscaled8x0123456789ABCDEF, _mm512_set1_ps(quantization_params[8].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:275:108: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 275 | vscaled9x0123456789ABCDEF = _mm512_mul_ps(vscaled9x0123456789ABCDEF, _mm512_set1_ps(quantization_params[9].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:276:110: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 276 | vscaled10x0123456789ABCDEF = _mm512_mul_ps(vscaled10x0123456789ABCDEF, _mm512_set1_ps(quantization_params[10].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:277:110: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 277 | vscaled11x0123456789ABCDEF = _mm512_mul_ps(vscaled11x0123456789ABCDEF, _mm512_set1_ps(quantization_params[11].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:278:110: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 278 | vscaled12x0123456789ABCDEF = _mm512_mul_ps(vscaled12x0123456789ABCDEF, _mm512_set1_ps(quantization_params[12].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:279:110: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 279 | vscaled13x0123456789ABCDEF = _mm512_mul_ps(vscaled13x0123456789ABCDEF, _mm512_set1_ps(quantization_params[13].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:280:110: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 280 | vscaled14x0123456789ABCDEF = _mm512_mul_ps(vscaled14x0123456789ABCDEF, _mm512_set1_ps(quantization_params[14].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:281:110: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 281 | vscaled15x0123456789ABCDEF = _mm512_mul_ps(vscaled15x0123456789ABCDEF, _mm512_set1_ps(quantization_params[15].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx-prfm.c:32:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_16x16c4__avx512amx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:184:123: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 184 | __m512i vacc1x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[1].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:185:123: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 185 | __m512i vacc2x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[2].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:186:123: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 186 | __m512i vacc3x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[3].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:187:123: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 187 | __m512i vacc4x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[4].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:188:123: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 188 | __m512i vacc5x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[5].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:189:123: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 189 | __m512i vacc6x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[6].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:190:123: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 190 | __m512i vacc7x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[7].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:191:123: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 191 | __m512i vacc8x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[8].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:192:123: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 192 | __m512i vacc9x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[9].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:193:124: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 193 | __m512i vacc10x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[10].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:194:124: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 194 | __m512i vacc11x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[11].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:195:124: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 195 | __m512i vacc12x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[12].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:196:124: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 196 | __m512i vacc13x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[13].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:197:124: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 197 | __m512i vacc14x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[14].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:198:124: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 198 | __m512i vacc15x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[15].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:234:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:235:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:236:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 236 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:237:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:238:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 238 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:239:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 239 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:240:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 240 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:241:108: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 241 | vscaled8x0123456789ABCDEF = _mm512_mul_ps(vscaled8x0123456789ABCDEF, _mm512_set1_ps(quantization_params[8].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:242:108: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 242 | vscaled9x0123456789ABCDEF = _mm512_mul_ps(vscaled9x0123456789ABCDEF, _mm512_set1_ps(quantization_params[9].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:243:110: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 243 | vscaled10x0123456789ABCDEF = _mm512_mul_ps(vscaled10x0123456789ABCDEF, _mm512_set1_ps(quantization_params[10].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:244:110: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 244 | vscaled11x0123456789ABCDEF = _mm512_mul_ps(vscaled11x0123456789ABCDEF, _mm512_set1_ps(quantization_params[11].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:245:110: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 245 | vscaled12x0123456789ABCDEF = _mm512_mul_ps(vscaled12x0123456789ABCDEF, _mm512_set1_ps(quantization_params[12].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:246:110: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 246 | vscaled13x0123456789ABCDEF = _mm512_mul_ps(vscaled13x0123456789ABCDEF, _mm512_set1_ps(quantization_params[13].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:247:110: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 247 | vscaled14x0123456789ABCDEF = _mm512_mul_ps(vscaled14x0123456789ABCDEF, _mm512_set1_ps(quantization_params[14].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:248:110: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 248 | vscaled15x0123456789ABCDEF = _mm512_mul_ps(vscaled15x0123456789ABCDEF, _mm512_set1_ps(quantization_params[15].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x16c4-minmax-avx512amx.c:31:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c [ 94%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/pack.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/pack.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/pack.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/pack.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/pack.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_16x32c4__avx512amx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:242:123: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 242 | __m512i vacc1x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[1].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:244:123: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 244 | __m512i vacc2x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[2].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:246:123: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 246 | __m512i vacc3x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[3].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:248:123: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 248 | __m512i vacc4x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[4].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:250:123: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 250 | __m512i vacc5x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[5].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:252:123: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 252 | __m512i vacc6x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[6].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:254:123: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 254 | __m512i vacc7x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[7].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:256:123: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 256 | __m512i vacc8x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[8].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:258:123: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 258 | __m512i vacc9x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[9].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:260:124: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 260 | __m512i vacc10x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[10].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:262:124: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 262 | __m512i vacc11x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[11].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:264:124: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 264 | __m512i vacc12x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[12].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:266:124: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 266 | __m512i vacc13x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[13].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:268:124: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 268 | __m512i vacc14x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[14].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:270:124: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 270 | __m512i vacc15x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[15].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:340:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 340 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:342:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 342 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:344:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 344 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:346:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 346 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:348:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 348 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:350:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 350 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:352:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 352 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:354:108: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 354 | vscaled8x0123456789ABCDEF = _mm512_mul_ps(vscaled8x0123456789ABCDEF, _mm512_set1_ps(quantization_params[8].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:356:108: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 356 | vscaled9x0123456789ABCDEF = _mm512_mul_ps(vscaled9x0123456789ABCDEF, _mm512_set1_ps(quantization_params[9].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:358:110: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 358 | vscaled10x0123456789ABCDEF = _mm512_mul_ps(vscaled10x0123456789ABCDEF, _mm512_set1_ps(quantization_params[10].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:360:110: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 360 | vscaled11x0123456789ABCDEF = _mm512_mul_ps(vscaled11x0123456789ABCDEF, _mm512_set1_ps(quantization_params[11].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:362:110: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 362 | vscaled12x0123456789ABCDEF = _mm512_mul_ps(vscaled12x0123456789ABCDEF, _mm512_set1_ps(quantization_params[12].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:364:110: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 364 | vscaled13x0123456789ABCDEF = _mm512_mul_ps(vscaled13x0123456789ABCDEF, _mm512_set1_ps(quantization_params[13].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:366:110: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 366 | vscaled14x0123456789ABCDEF = _mm512_mul_ps(vscaled14x0123456789ABCDEF, _mm512_set1_ps(quantization_params[14].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:368:110: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 368 | vscaled15x0123456789ABCDEF = _mm512_mul_ps(vscaled15x0123456789ABCDEF, _mm512_set1_ps(quantization_params[15].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx-prfm.c:32:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_16x32c4__avx512amx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:193:123: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 193 | __m512i vacc1x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[1].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:195:123: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 195 | __m512i vacc2x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[2].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:197:123: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 197 | __m512i vacc3x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[3].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:199:123: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 199 | __m512i vacc4x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[4].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:201:123: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 201 | __m512i vacc5x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[5].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:203:123: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 203 | __m512i vacc6x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[6].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:205:123: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 205 | __m512i vacc7x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[7].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:207:123: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 207 | __m512i vacc8x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[8].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:209:123: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | __m512i vacc9x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[9].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:211:124: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 211 | __m512i vacc10x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[10].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:213:124: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 213 | __m512i vacc11x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[11].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:215:124: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 215 | __m512i vacc12x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[12].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:217:124: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 217 | __m512i vacc13x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[13].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:219:124: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | __m512i vacc14x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[14].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:221:124: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 221 | __m512i vacc15x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[15].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:291:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 291 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:293:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 293 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:295:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 295 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:297:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 297 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:299:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 299 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:301:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 301 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:303:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 303 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:305:108: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 305 | vscaled8x0123456789ABCDEF = _mm512_mul_ps(vscaled8x0123456789ABCDEF, _mm512_set1_ps(quantization_params[8].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:307:108: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 307 | vscaled9x0123456789ABCDEF = _mm512_mul_ps(vscaled9x0123456789ABCDEF, _mm512_set1_ps(quantization_params[9].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:309:110: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 309 | vscaled10x0123456789ABCDEF = _mm512_mul_ps(vscaled10x0123456789ABCDEF, _mm512_set1_ps(quantization_params[10].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:311:110: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 311 | vscaled11x0123456789ABCDEF = _mm512_mul_ps(vscaled11x0123456789ABCDEF, _mm512_set1_ps(quantization_params[11].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:313:110: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 313 | vscaled12x0123456789ABCDEF = _mm512_mul_ps(vscaled12x0123456789ABCDEF, _mm512_set1_ps(quantization_params[12].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:315:110: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 315 | vscaled13x0123456789ABCDEF = _mm512_mul_ps(vscaled13x0123456789ABCDEF, _mm512_set1_ps(quantization_params[13].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:317:110: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 317 | vscaled14x0123456789ABCDEF = _mm512_mul_ps(vscaled14x0123456789ABCDEF, _mm512_set1_ps(quantization_params[14].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:319:110: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 319 | vscaled15x0123456789ABCDEF = _mm512_mul_ps(vscaled15x0123456789ABCDEF, _mm512_set1_ps(quantization_params[15].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x32c4-minmax-avx512amx.c:31:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/pack.cc:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_16x64c4__avx512amx_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:292:123: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 292 | __m512i vacc1x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[1].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:296:123: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 296 | __m512i vacc2x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[2].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:300:123: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 300 | __m512i vacc3x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[3].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:304:123: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 304 | __m512i vacc4x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[4].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:308:123: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 308 | __m512i vacc5x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[5].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:312:123: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 312 | __m512i vacc6x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[6].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:316:123: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 316 | __m512i vacc7x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[7].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:320:123: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 320 | __m512i vacc8x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[8].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:324:123: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 324 | __m512i vacc9x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[9].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:328:124: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 328 | __m512i vacc10x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[10].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:332:124: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 332 | __m512i vacc11x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[11].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:336:124: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 336 | __m512i vacc12x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[12].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:340:124: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 340 | __m512i vacc13x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[13].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:344:124: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 344 | __m512i vacc14x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[14].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:348:124: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 348 | __m512i vacc15x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[15].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:486:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 486 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:490:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 490 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:494:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 494 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:498:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 498 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:502:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 502 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:506:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 506 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:510:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 510 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:514:108: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 514 | vscaled8x0123456789ABCDEF = _mm512_mul_ps(vscaled8x0123456789ABCDEF, _mm512_set1_ps(quantization_params[8].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:518:108: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 518 | vscaled9x0123456789ABCDEF = _mm512_mul_ps(vscaled9x0123456789ABCDEF, _mm512_set1_ps(quantization_params[9].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:522:110: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 522 | vscaled10x0123456789ABCDEF = _mm512_mul_ps(vscaled10x0123456789ABCDEF, _mm512_set1_ps(quantization_params[10].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:526:110: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 526 | vscaled11x0123456789ABCDEF = _mm512_mul_ps(vscaled11x0123456789ABCDEF, _mm512_set1_ps(quantization_params[11].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:530:110: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 530 | vscaled12x0123456789ABCDEF = _mm512_mul_ps(vscaled12x0123456789ABCDEF, _mm512_set1_ps(quantization_params[12].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:534:110: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 534 | vscaled13x0123456789ABCDEF = _mm512_mul_ps(vscaled13x0123456789ABCDEF, _mm512_set1_ps(quantization_params[13].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:538:110: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 538 | vscaled14x0123456789ABCDEF = _mm512_mul_ps(vscaled14x0123456789ABCDEF, _mm512_set1_ps(quantization_params[14].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:542:110: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 542 | vscaled15x0123456789ABCDEF = _mm512_mul_ps(vscaled15x0123456789ABCDEF, _mm512_set1_ps(quantization_params[15].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx-prfm.c:32:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c [ 94%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/pad.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/pad.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/pad.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/pad.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/pad.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_16x64c4__avx512amx’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:211:123: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 211 | __m512i vacc1x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[1].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:215:123: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 215 | __m512i vacc2x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[2].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:219:123: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | __m512i vacc3x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[3].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:223:123: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 223 | __m512i vacc4x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[4].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:227:123: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 227 | __m512i vacc5x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[5].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:231:123: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 231 | __m512i vacc6x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[6].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:235:123: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | __m512i vacc7x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[7].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:239:123: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 239 | __m512i vacc8x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[8].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:243:123: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 243 | __m512i vacc9x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[9].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:247:124: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 247 | __m512i vacc10x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[10].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:251:124: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 251 | __m512i vacc11x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[11].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:255:124: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 255 | __m512i vacc12x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[12].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:259:124: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | __m512i vacc13x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[13].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:263:124: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 263 | __m512i vacc14x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[14].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:267:124: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 267 | __m512i vacc15x0123456789ABCDEF = _mm512_mullo_epi32(vksum0123456789ABCDEF, _mm512_set1_epi32((int) quantization_params[15].zero_point)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:405:108: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 405 | vscaled1x0123456789ABCDEF = _mm512_mul_ps(vscaled1x0123456789ABCDEF, _mm512_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:409:108: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 409 | vscaled2x0123456789ABCDEF = _mm512_mul_ps(vscaled2x0123456789ABCDEF, _mm512_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:413:108: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 413 | vscaled3x0123456789ABCDEF = _mm512_mul_ps(vscaled3x0123456789ABCDEF, _mm512_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:417:108: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 417 | vscaled4x0123456789ABCDEF = _mm512_mul_ps(vscaled4x0123456789ABCDEF, _mm512_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:421:108: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 421 | vscaled5x0123456789ABCDEF = _mm512_mul_ps(vscaled5x0123456789ABCDEF, _mm512_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:425:108: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 425 | vscaled6x0123456789ABCDEF = _mm512_mul_ps(vscaled6x0123456789ABCDEF, _mm512_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:429:108: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 429 | vscaled7x0123456789ABCDEF = _mm512_mul_ps(vscaled7x0123456789ABCDEF, _mm512_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:433:108: warning: array subscript 8 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 433 | vscaled8x0123456789ABCDEF = _mm512_mul_ps(vscaled8x0123456789ABCDEF, _mm512_set1_ps(quantization_params[8].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 64 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:437:108: warning: array subscript 9 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 437 | vscaled9x0123456789ABCDEF = _mm512_mul_ps(vscaled9x0123456789ABCDEF, _mm512_set1_ps(quantization_params[9].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 72 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:441:110: warning: array subscript 10 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 441 | vscaled10x0123456789ABCDEF = _mm512_mul_ps(vscaled10x0123456789ABCDEF, _mm512_set1_ps(quantization_params[10].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 80 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:445:110: warning: array subscript 11 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 445 | vscaled11x0123456789ABCDEF = _mm512_mul_ps(vscaled11x0123456789ABCDEF, _mm512_set1_ps(quantization_params[11].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 88 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:449:110: warning: array subscript 12 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 449 | vscaled12x0123456789ABCDEF = _mm512_mul_ps(vscaled12x0123456789ABCDEF, _mm512_set1_ps(quantization_params[12].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 96 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:453:110: warning: array subscript 13 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 453 | vscaled13x0123456789ABCDEF = _mm512_mul_ps(vscaled13x0123456789ABCDEF, _mm512_set1_ps(quantization_params[13].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 104 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:457:110: warning: array subscript 14 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 457 | vscaled14x0123456789ABCDEF = _mm512_mul_ps(vscaled14x0123456789ABCDEF, _mm512_set1_ps(quantization_params[14].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 112 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:461:110: warning: array subscript 15 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 461 | vscaled15x0123456789ABCDEF = _mm512_mul_ps(vscaled15x0123456789ABCDEF, _mm512_set1_ps(quantization_params[15].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-16x64c4-minmax-avx512amx.c:31:46: note: at offset 120 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x16c4-minmax-avx512amx.c [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x32c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x32c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x32c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x32c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x32c4-minmax-avx512amx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/pad.cc:24: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x64c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x64c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x64c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x64c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x64c4-minmax-avx512amx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x16c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x16c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x16c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x16c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x16c4-minmax-avx512amx.c [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x32c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x32c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x32c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x32c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x32c4-minmax-avx512amx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x64c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x64c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x64c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x64c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-7x64c4-minmax-avx512amx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x16c4-minmax-avx512amx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x16c4-minmax-avx512amx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x16c4-minmax-avx512amx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x16c4-minmax-avx512amx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x16c4-minmax-avx512amx-prfm.c [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x16c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni 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-DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x32c4-minmax-avx512amx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x32c4-minmax-avx512amx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x32c4-minmax-avx512amx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x32c4-minmax-avx512amx-prfm.c [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x32c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x64c4-minmax-avx512amx-prfm.c [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x64c4-minmax-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x64c4-minmax-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x64c4-minmax-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x64c4-minmax-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-16x64c4-minmax-avx512amx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/pooling.h:29, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/pooling.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/pooling.cc:25: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x16c4-minmax-fp32-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x16c4-minmax-fp32-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x16c4-minmax-fp32-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x16c4-minmax-fp32-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x16c4-minmax-fp32-avx512amx.c [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x32c4-minmax-fp32-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x32c4-minmax-fp32-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x32c4-minmax-fp32-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x32c4-minmax-fp32-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x32c4-minmax-fp32-avx512amx.c [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x64c4-minmax-fp32-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x64c4-minmax-fp32-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x64c4-minmax-fp32-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x64c4-minmax-fp32-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x64c4-minmax-fp32-avx512amx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x16c4-minmax-fp32-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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-DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/pow.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/pow.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/pow.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/pow.cc [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-16x64c4-minmax-fp32-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x32c4-minmax-fp32-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x32c4-minmax-fp32-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x32c4-minmax-fp32-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x32c4-minmax-fp32-avx512amx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/pow.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x64c4-minmax-fp32-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x64c4-minmax-fp32-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x64c4-minmax-fp32-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x64c4-minmax-fp32-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x64c4-minmax-fp32-avx512amx.c [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-7x16c4-minmax-fp32-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-7x16c4-minmax-fp32-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-7x16c4-minmax-fp32-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-7x16c4-minmax-fp32-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-7x16c4-minmax-fp32-avx512amx.c [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-7x32c4-minmax-fp32-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-7x32c4-minmax-fp32-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-7x32c4-minmax-fp32-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-7x32c4-minmax-fp32-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-7x32c4-minmax-fp32-avx512amx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-7x64c4-minmax-fp32-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC 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-DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-16x32c4-minmax-fp32-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-16x32c4-minmax-fp32-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-16x32c4-minmax-fp32-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-16x32c4-minmax-fp32-avx512amx.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/quantize.cc:21: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 94%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-16x64c4-minmax-fp32-avx512amx-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-16x64c4-minmax-fp32-avx512amx-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-16x64c4-minmax-fp32-avx512amx-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-16x64c4-minmax-fp32-avx512amx-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-16x64c4-minmax-fp32-avx512amx-prfm.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-16x64c4-minmax-fp32-avx512amx.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mamx-tile -mamx-int8 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-16x64c4-minmax-fp32-avx512amx.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-16x64c4-minmax-fp32-avx512amx.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-16x64c4-minmax-fp32-avx512amx.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-16x64c4-minmax-fp32-avx512amx.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x32-minmax-avx512fp16-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x32-minmax-avx512fp16-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x32-minmax-avx512fp16-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x32-minmax-avx512fp16-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gemm/gen/f16-gemm-1x32-minmax-avx512fp16-broadcast.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x64-minmax-avx512fp16-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x64-minmax-avx512fp16-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x64-minmax-avx512fp16-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x64-minmax-avx512fp16-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gemm/gen/f16-gemm-1x64-minmax-avx512fp16-broadcast.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x32-minmax-avx512fp16-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x32-minmax-avx512fp16-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x32-minmax-avx512fp16-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x32-minmax-avx512fp16-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gemm/gen/f16-gemm-4x32-minmax-avx512fp16-broadcast.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x64-minmax-avx512fp16-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x64-minmax-avx512fp16-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x64-minmax-avx512fp16-broadcast.c.o.d -o 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp 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-DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/random_ops.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/random_ops.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/random_ops.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/random_ops.cc [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x32-minmax-avx512fp16-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x32-minmax-avx512fp16-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x32-minmax-avx512fp16-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x32-minmax-avx512fp16-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gemm/gen/f16-gemm-5x32-minmax-avx512fp16-broadcast.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/random_ops.cc: In instantiation of ‘void tflite::ops::builtin::random::{anonymous}::GenerateMultinomialNumbers(Generator&, int, const float*, size_t, IntType*, size_t) [with IntType = long int; Generator = tsl::random::PhiloxRandom; size_t = long unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/random_ops.cc:305:42: required from here 305 | GenerateMultinomialNumbers( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 306 | data->rng, batch_size, logits, num_classes, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | GetTensorData(output_tensor), num_samples); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/random_ops.cc:147:27: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 147 | for (int64_t j = 0; j < num_samples; ++j) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/random_ops.cc: In instantiation of ‘void tflite::ops::builtin::random::{anonymous}::GenerateMultinomialNumbers(Generator&, int, const float*, size_t, IntType*, size_t) [with IntType = int; Generator = tsl::random::PhiloxRandom; size_t = long unsigned int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/random_ops.cc:310:42: required from here 310 | GenerateMultinomialNumbers( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 311 | data->rng, batch_size, logits, num_classes, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | GetTensorData(output_tensor), num_samples); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/random_ops.cc:147:27: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 147 | for (int64_t j = 0; j < num_samples; ++j) { | ~~^~~~~~~~~~~~~ [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x64-minmax-avx512fp16-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x64-minmax-avx512fp16-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x64-minmax-avx512fp16-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x64-minmax-avx512fp16-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gemm/gen/f16-gemm-5x64-minmax-avx512fp16-broadcast.c [ 95%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/random_standard_normal_custom.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/random_standard_normal_custom.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/random_standard_normal_custom.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/random_standard_normal_custom.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/random_standard_normal_custom.cc [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-6x32-minmax-avx512fp16-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gemm/gen/f16-gemm-6x32-minmax-avx512fp16-broadcast.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-6x64-minmax-avx512fp16-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-8x32-minmax-avx512fp16-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-8x32-minmax-avx512fp16-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-8x32-minmax-avx512fp16-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gemm/gen/f16-gemm-8x32-minmax-avx512fp16-broadcast.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-8x64-minmax-avx512fp16-broadcast.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-8x64-minmax-avx512fp16-broadcast.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-8x64-minmax-avx512fp16-broadcast.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-8x64-minmax-avx512fp16-broadcast.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-gemm/gen/f16-gemm-8x64-minmax-avx512fp16-broadcast.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/range.cc:24: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rmax-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 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-DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT 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-DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rminmax-avx512fp16-u128-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rminmax-avx512fp16-u128-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rminmax-avx512fp16-u128-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-rminmax/gen/f16-rminmax-avx512fp16-u128-acc2.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rminmax-avx512fp16-u128-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rminmax-avx512fp16-u128-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rminmax-avx512fp16-u128-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-rminmax/gen/f16-rminmax-avx512fp16-u128-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-rminmax/gen/f16-rminmax-avx512fp16-u128-acc4.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:26: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-rsum/gen/f16-rsum-avx512fp16-u32.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/mean.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:28: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u64-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u64-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u64-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u64-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-rsum/gen/f16-rsum-avx512fp16-u64-acc2.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u96-acc3.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u96-acc3.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u96-acc3.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u96-acc3.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-rsum/gen/f16-rsum-avx512fp16-u96-acc3.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u128-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u128-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u128-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u128-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-rsum/gen/f16-rsum-avx512fp16-u128-acc2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In function ‘TfLiteStatus tflite::ops::builtin::reduce::GetOutputShape(TfLiteContext*, OpContext*, TfLiteIntArray**)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:119:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 119 | for (int axis_idx = 0; axis_idx < num_axis; ++axis_idx) { | ~~~~~~~~~^~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:136:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 136 | for (int i = 0; i < num_axis; ++i) { | ~~^~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:159:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 159 | for (int axis_idx = 0; axis_idx < num_axis; ++axis_idx) { | ~~~~~~~~~^~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘void tflite::ops::builtin::reduce::InitializeMeanOutputTyped(TfLiteTensor*) [with T = float; TfLiteTensor = TfLiteTensor]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:527:39: required from here 527 | InitializeMeanOutputTyped(output); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:519:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 519 | for (int idx = 0; idx < flat_size; ++idx) { | ~~~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘void tflite::ops::builtin::reduce::InitializeMeanOutputTyped(TfLiteTensor*) [with T = int; TfLiteTensor = TfLiteTensor]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:530:37: required from here 530 | InitializeMeanOutputTyped(output); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:519:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 519 | for (int idx = 0; idx < flat_size; ++idx) { | ~~~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘void tflite::ops::builtin::reduce::InitializeMeanOutputTyped(TfLiteTensor*) [with T = long int; TfLiteTensor = TfLiteTensor]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:533:41: required from here 533 | InitializeMeanOutputTyped(output); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:519:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 519 | for (int idx = 0; idx < flat_size; ++idx) { | ~~~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘void tflite::ops::builtin::reduce::InitializeMeanOutputTyped(TfLiteTensor*) [with T = unsigned char; TfLiteTensor = TfLiteTensor]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:536:41: required from here 536 | InitializeMeanOutputTyped(output); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:519:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 519 | for (int idx = 0; idx < flat_size; ++idx) { | ~~~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘void tflite::ops::builtin::reduce::InitializeMeanOutputTyped(TfLiteTensor*) [with T = signed char; TfLiteTensor = TfLiteTensor]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:539:40: required from here 539 | InitializeMeanOutputTyped(output); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:519:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 519 | for (int idx = 0; idx < flat_size; ++idx) { | ~~~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘void tflite::ops::builtin::reduce::InitializeMeanOutputTyped(TfLiteTensor*) [with T = short int; TfLiteTensor = TfLiteTensor]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:542:41: required from here 542 | InitializeMeanOutputTyped(output); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:519:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 519 | for (int idx = 0; idx < flat_size; ++idx) { | ~~~~^~~~~~~~~~~ [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u128-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u128-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u128-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-rsum/gen/f16-rsum-avx512fp16-u128-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-rsum/gen/f16-rsum-avx512fp16-u128-acc4.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_integer_ops::MeanWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_integer_ops::MeanWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/mean.h:243:36: required from here 243 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 244 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::MeanWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::MeanWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/reduce.h:257:36: required from here 257 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = bool; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:900:41: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 900 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 901 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:793:68: warning: ‘*’ in boolean context, suggest ‘&&’ instead [-Wint-in-bool-context] 793 | reducer = [](const T current, const T in) -> T { return in * current; }; | ~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = bool; KernelType kernel_type = tflite::ops::builtin::reduce::kGenericOptimized; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:900:41: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kGenericOptimized; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 900 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 901 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1115:15: required from here 1115 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:793:68: warning: ‘*’ in boolean context, suggest ‘&&’ instead [-Wint-in-bool-context] 793 | reducer = [](const T current, const T in) -> T { return in * current; }; | ~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘void tflite::ops::builtin::reduce::ReduceAllDims(const T*, const int*, int, T*, T, T (*)(T, T), TfLiteContext*) [with T = float; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:833:20: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = float; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 833 | ReduceAllDims(GetTensorData(input), input->dims->data, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 834 | input->dims->size, GetTensorData(op_context->output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 835 | init_value, reducer, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:876:42: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 876 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 877 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:752:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 752 | for (int i = 1; i < data.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘void tflite::ops::builtin::reduce::ReduceAllDims(const T*, const int*, int, T*, T, T (*)(T, T), TfLiteContext*) [with T = int; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:833:20: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = int; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 833 | ReduceAllDims(GetTensorData(input), input->dims->data, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 834 | input->dims->size, GetTensorData(op_context->output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 835 | init_value, reducer, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:880:40: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 880 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 881 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:752:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 752 | for (int i = 1; i < data.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vadd-minmax-avx512fp16-u32.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘void tflite::ops::builtin::reduce::ReduceAllDims(const T*, const int*, int, T*, T, T (*)(T, T), TfLiteContext*) [with T = long int; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:833:20: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = long int; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 833 | ReduceAllDims(GetTensorData(input), input->dims->data, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 834 | input->dims->size, GetTensorData(op_context->output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 835 | init_value, reducer, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:884:44: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 884 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 885 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:752:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 752 | for (int i = 1; i < data.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘void tflite::ops::builtin::reduce::ReduceAllDims(const T*, const int*, int, T*, T, T (*)(T, T), TfLiteContext*) [with T = unsigned char; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:833:20: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = unsigned char; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 833 | ReduceAllDims(GetTensorData(input), input->dims->data, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 834 | input->dims->size, GetTensorData(op_context->output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 835 | init_value, reducer, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:888:44: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 888 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 889 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:752:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 752 | for (int i = 1; i < data.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘void tflite::ops::builtin::reduce::ReduceAllDims(const T*, const int*, int, T*, T, T (*)(T, T), TfLiteContext*) [with T = signed char; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:833:20: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = signed char; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 833 | ReduceAllDims(GetTensorData(input), input->dims->data, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 834 | input->dims->size, GetTensorData(op_context->output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 835 | init_value, reducer, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:892:43: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 892 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 893 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:752:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 752 | for (int i = 1; i < data.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘void tflite::ops::builtin::reduce::ReduceAllDims(const T*, const int*, int, T*, T, T (*)(T, T), TfLiteContext*) [with T = short int; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:833:20: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = short int; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 833 | ReduceAllDims(GetTensorData(input), input->dims->data, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 834 | input->dims->size, GetTensorData(op_context->output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 835 | init_value, reducer, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:896:44: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 896 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 897 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:752:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 752 | for (int i = 1; i < data.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc: In instantiation of ‘void tflite::ops::builtin::reduce::ReduceAllDims(const T*, const int*, int, T*, T, T (*)(T, T), TfLiteContext*) [with T = bool; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:833:20: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = bool; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 833 | ReduceAllDims(GetTensorData(input), input->dims->data, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 834 | input->dims->size, GetTensorData(op_context->output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 835 | init_value, reducer, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:900:41: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 900 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 901 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:752:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 752 | for (int i = 1; i < data.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::builtin::reduce::ReduceWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::builtin::reduce::ReduceWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:748:34: required from ‘void tflite::ops::builtin::reduce::ReduceAllDims(const T*, const int*, int, T*, T, T (*)(T, T), TfLiteContext*) [with T = float; TfLiteContext = TfLiteContext]’ 748 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 749 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:833:20: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = float; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 833 | ReduceAllDims(GetTensorData(input), input->dims->data, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 834 | input->dims->size, GetTensorData(op_context->output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 835 | init_value, reducer, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:876:42: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 876 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 877 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::builtin::reduce::ReduceWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::builtin::reduce::ReduceWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:748:34: required from ‘void tflite::ops::builtin::reduce::ReduceAllDims(const T*, const int*, int, T*, T, T (*)(T, T), TfLiteContext*) [with T = int; TfLiteContext = TfLiteContext]’ 748 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 749 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:833:20: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = int; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 833 | ReduceAllDims(GetTensorData(input), input->dims->data, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 834 | input->dims->size, GetTensorData(op_context->output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 835 | init_value, reducer, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:880:40: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 880 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 881 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::builtin::reduce::ReduceWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::builtin::reduce::ReduceWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:748:34: required from ‘void tflite::ops::builtin::reduce::ReduceAllDims(const T*, const int*, int, T*, T, T (*)(T, T), TfLiteContext*) [with T = long int; TfLiteContext = TfLiteContext]’ 748 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 749 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:833:20: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = long int; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 833 | ReduceAllDims(GetTensorData(input), input->dims->data, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 834 | input->dims->size, GetTensorData(op_context->output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 835 | init_value, reducer, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:884:44: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 884 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 885 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::builtin::reduce::ReduceWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::builtin::reduce::ReduceWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:748:34: required from ‘void tflite::ops::builtin::reduce::ReduceAllDims(const T*, const int*, int, T*, T, T (*)(T, T), TfLiteContext*) [with T = unsigned char; TfLiteContext = TfLiteContext]’ 748 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 749 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:833:20: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = unsigned char; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 833 | ReduceAllDims(GetTensorData(input), input->dims->data, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 834 | input->dims->size, GetTensorData(op_context->output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 835 | init_value, reducer, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:888:44: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 888 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 889 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::builtin::reduce::ReduceWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::builtin::reduce::ReduceWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:748:34: required from ‘void tflite::ops::builtin::reduce::ReduceAllDims(const T*, const int*, int, T*, T, T (*)(T, T), TfLiteContext*) [with T = signed char; TfLiteContext = TfLiteContext]’ 748 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 749 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:833:20: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = signed char; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 833 | ReduceAllDims(GetTensorData(input), input->dims->data, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 834 | input->dims->size, GetTensorData(op_context->output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 835 | init_value, reducer, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:892:43: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 892 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 893 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::builtin::reduce::ReduceWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::builtin::reduce::ReduceWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:748:34: required from ‘void tflite::ops::builtin::reduce::ReduceAllDims(const T*, const int*, int, T*, T, T (*)(T, T), TfLiteContext*) [with T = short int; TfLiteContext = TfLiteContext]’ 748 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 749 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:833:20: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = short int; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 833 | ReduceAllDims(GetTensorData(input), input->dims->data, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 834 | input->dims->size, GetTensorData(op_context->output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 835 | init_value, reducer, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:896:44: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 896 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 897 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::ops::builtin::reduce::ReduceWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::ops::builtin::reduce::ReduceWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:748:34: required from ‘void tflite::ops::builtin::reduce::ReduceAllDims(const T*, const int*, int, T*, T, T (*)(T, T), TfLiteContext*) [with T = bool; TfLiteContext = TfLiteContext]’ 748 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 749 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:833:20: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalType(TfLiteContext*, TfLiteNode*, OpContext*, ReduceType) [with T = bool; KernelType kernel_type = tflite::ops::builtin::reduce::kReference; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 833 | ReduceAllDims(GetTensorData(input), input->dims->data, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 834 | input->dims->size, GetTensorData(op_context->output), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 835 | init_value, reducer, context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:900:41: required from ‘TfLiteStatus tflite::ops::builtin::reduce::EvalGeneric(TfLiteContext*, TfLiteNode*) [with KernelType kernel_type = tflite::ops::builtin::reduce::kReference; ReduceType reduce_type = tflite::ops::builtin::reduce::kMax; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 900 | return EvalType(context, node, &op_context, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 901 | reduce_type); | ~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reduce.cc:1108:15: required from here 1108 | reduce::EvalGeneric}; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vadd-minmax-avx512fp16-u64.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vaddc-minmax-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vaddc-minmax-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vaddc-minmax-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vaddc-minmax-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vaddc-minmax-avx512fp16-u32.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vaddc-minmax-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vaddc-minmax-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vaddc-minmax-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vaddc-minmax-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vaddc-minmax-avx512fp16-u64.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdiv-minmax-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdiv-minmax-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdiv-minmax-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdiv-minmax-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vdiv-minmax-avx512fp16-u32.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdiv-minmax-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdiv-minmax-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdiv-minmax-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdiv-minmax-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vdiv-minmax-avx512fp16-u64.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vdivc-minmax-avx512fp16-u32.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vdivc-minmax-avx512fp16-u64.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmax-avx512fp16-u32.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmax-avx512fp16-u64.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmaxc-avx512fp16-u32.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmaxc-avx512fp16-u64.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmin-avx512fp16-u32.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmin-avx512fp16-u64.c [ 95%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vminc-avx512fp16-u32.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vminc-avx512fp16-u64.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmul-minmax-avx512fp16-u32.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmul-minmax-avx512fp16-u64.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmulc-minmax-avx512fp16-u32.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vmulc-minmax-avx512fp16-u64.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vrdivc-minmax-avx512fp16-u32.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vrdivc-minmax-avx512fp16-u64.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vrsubc-minmax-avx512fp16-u32.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vrsubc-minmax-avx512fp16-u64.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsqrdiff-avx512fp16-u32.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsqrdiff-avx512fp16-u64.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsqrdiffc-avx512fp16-u32.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsqrdiffc-avx512fp16-u64.c [ 95%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-avx512fp16-u32.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsub-minmax-avx512fp16-u32.c [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -mavx512vl -mavx512vnni -mgfni -mavx512fp16 -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-avx512fp16-u64.c.o -MF CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsub-minmax-avx512fp16-u64.c [ 96%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/register_ref.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/tensorflow-lite.dir/kernels/register_ref.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/register_ref.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/register_ref.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/register_ref.cc [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-avx512fp16-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-avx512fp16-u32.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-avx512fp16-u32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsubc-minmax-avx512fp16-u32.c [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-avx512fp16-u64.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-avx512fp16-u64.c.o.d -o CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-avx512fp16-u64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/f16-vbinary/gen/f16-vsubc-minmax-avx512fp16-u64.c [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-avx512fp16-sqrt-u32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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-DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_2x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c:142:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 142 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni.c [ 96%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/resize_bilinear.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/resize_bilinear.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/resize_bilinear.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/resize_bilinear.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/resize_bilinear.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_2x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni.c:139:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 139 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-2x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_3x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:159:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 159 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:160:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 160 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_3x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni.c:156:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 156 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni.c:157:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 157 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/resize_bilinear.cc:21: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_4x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:184:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 184 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:185:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 185 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:186:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 186 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_4x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c:181:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 181 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c:182:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 182 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c:183:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 183 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/resize_bilinear.cc:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/resize_bilinear.h: In function ‘void tflite::optimized_ops::resize_bilinear::ResizeBilinear888Uint8(int32, int32, int32, int32, const uint8*, uint8*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/resize_bilinear.h:965:15: warning: variable ‘wdelta_twice_c’ set but not used [-Wunused-but-set-variable] 965 | int16 wdelta_twice_c; | ^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_5x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:209:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:210:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 210 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:211:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 211 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:212:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 212 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_5x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:206:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 206 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:207:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 207 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:208:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 208 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:209:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_6x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:234:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:235:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:236:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 236 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:237:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:238:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 238 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_6x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:231:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 231 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:232:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 232 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:233:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 233 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:234:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:235:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c [ 96%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/resize_nearest_neighbor.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/resize_nearest_neighbor.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/resize_nearest_neighbor.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/resize_nearest_neighbor.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/resize_nearest_neighbor.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_7x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:259:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:260:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 260 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:261:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:262:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 262 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:263:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 263 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:264:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 264 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_7x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:256:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 256 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:257:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 257 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:258:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 258 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:259:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:260:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 260 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:261:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_8x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:284:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:285:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 285 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:286:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 286 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:287:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 287 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:288:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 288 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:289:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 289 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:290:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 290 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/resize_nearest_neighbor.cc:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f16_qc4w_gemm_minmax_ukernel_8x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:281:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 281 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:282:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 282 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:283:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 283 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:284:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:285:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 285 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:286:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 286 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:287:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 287 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc4w-gemm/gen/qd8-f16-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avxvnni-prfm.c [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-1x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_2x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c:134:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 134 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_2x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni.c:130:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 130 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-2x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_3x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:150:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 150 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:151:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 151 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni.c [ 96%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/reverse.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/reverse.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/reverse.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/reverse.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reverse.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_3x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni.c:146:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 146 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni.c:147:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 147 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_4x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:174:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 174 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:175:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 175 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:176:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 176 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reverse.cc:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_4x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c:170:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 170 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c:171:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 171 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c:172:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 172 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c [ 96%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/reverse_sequence.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/reverse_sequence.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/reverse_sequence.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/reverse_sequence.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reverse_sequence.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_5x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:198:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 198 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:199:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 199 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:200:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 200 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:201:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 201 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_5x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:194:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 194 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:195:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 195 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:196:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 196 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:197:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 197 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/reverse_sequence.cc:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_6x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:222:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 222 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:223:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 223 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:224:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 224 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:225:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 225 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:226:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 226 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c [ 96%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/rfft2d.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/rfft2d.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/rfft2d.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/rfft2d.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/rfft2d.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_6x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:218:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 218 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:219:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:220:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 220 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:221:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 221 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:222:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 222 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_7x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:246:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 246 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:247:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 247 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:248:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 248 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:249:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 249 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:250:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 250 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:251:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 251 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/right_shift.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/right_shift.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/right_shift.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/right_shift.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_7x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:242:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 242 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:243:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 243 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:244:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 244 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:245:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 245 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:246:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 246 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:247:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 247 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/right_shift.cc: In instantiation of ‘T tflite::ops::builtin::right_shift::RightShift(T, T) [with T = signed char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/right_shift.cc:127:77: required from here 127 | reference_ops::BroadcastBinaryFunction4DSlow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 128 | GetTensorShape(input1), GetTensorData(input1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 129 | GetTensorShape(input2), GetTensorData(input2), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 130 | GetTensorShape(output), GetTensorData(output), RightShift); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/right_shift.cc:86:24: warning: comparison of integer expressions of different signedness: ‘signed char’ and ‘long unsigned int’ [-Wsign-compare] 86 | } else if (y_clamped > sizeof(T) * CHAR_BIT - 1) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/right_shift.cc: In instantiation of ‘T tflite::ops::builtin::right_shift::RightShift(T, T) [with T = short int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/right_shift.cc:158:80: required from here 158 | reference_ops::BroadcastBinaryFunction4DSlow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 159 | GetTensorShape(input1), GetTensorData(input1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | GetTensorShape(input2), GetTensorData(input2), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | GetTensorShape(output), GetTensorData(output), RightShift); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/right_shift.cc:86:24: warning: comparison of integer expressions of different signedness: ‘short int’ and ‘long unsigned int’ [-Wsign-compare] 86 | } else if (y_clamped > sizeof(T) * CHAR_BIT - 1) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/right_shift.cc: In instantiation of ‘T tflite::ops::builtin::right_shift::RightShift(T, T) [with T = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/right_shift.cc:189:80: required from here 189 | reference_ops::BroadcastBinaryFunction4DSlow( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 190 | GetTensorShape(input1), GetTensorData(input1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 191 | GetTensorShape(input2), GetTensorData(input2), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 192 | GetTensorShape(output), GetTensorData(output), RightShift); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/right_shift.cc:86:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 86 | } else if (y_clamped > sizeof(T) * CHAR_BIT - 1) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/rng_bit_generator.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/rng_bit_generator.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/rng_bit_generator.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/rng_bit_generator.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/rng_bit_generator.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_8x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:270:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 270 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:271:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 271 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:272:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 272 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:273:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 273 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:274:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 274 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:275:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 275 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:276:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 276 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/rng_bit_generator.cc: In instantiation of ‘void tflite::ops::builtin::stablehlo_rng_bit_generator::{anonymous}::FillOutputBuffer(uint32_t*, uint32_t*, int64_t, T, std::array&, uint32_t, uint32_t) [with T = std::array(unsigned int, unsigned int, std::array); long unsigned int K = 2; uint32_t = unsigned int; int64_t = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/rng_bit_generator.cc:128:63: required from here 128 | FillOutputBuffer( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 129 | static_cast(output->data.data), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 130 | static_cast(output_key->data.data), output_num_elements, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | tflite::rng::Threefry2x32, ctr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 132 | /*key_0=*/state_vals[0], /*key_1=*/state_vals[1]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/rng_bit_generator.cc:46:50: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::array::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 46 | int64_t copy_size = (output_num_elements - i >= val.size()) | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/rng_bit_generator.cc: In instantiation of ‘void tflite::ops::builtin::stablehlo_rng_bit_generator::{anonymous}::FillOutputBuffer(uint32_t*, uint32_t*, int64_t, T, std::array&, uint32_t, uint32_t) [with T = std::array(unsigned int, unsigned int, std::array); long unsigned int K = 4; uint32_t = unsigned int; int64_t = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/rng_bit_generator.cc:148:61: required from here 148 | FillOutputBuffer( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 149 | static_cast(output->data.data), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 150 | static_cast(output_key->data.data), output_num_elements, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 151 | tflite::rng::Philox4x32, ctr, /*key_0=*/state_vals[0], | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 152 | /*key_1=*/state_vals[1]); | ~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/rng_bit_generator.cc:46:50: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::array::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 46 | int64_t copy_size = (output_num_elements - i >= val.size()) | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ [ 96%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/rng_util.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/rng_util.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/rng_util.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/rng_util.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/rng_util.cc [ 96%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/roll.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/roll.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/roll.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/roll.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/roll.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f16_qc8w_gemm_minmax_ukernel_8x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:266:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 266 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:267:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 267 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:268:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 268 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:269:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 269 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:270:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 270 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:271:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 271 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:272:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 272 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-gemm/gen/qd8-f16-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/roll.cc: In function ‘std::vector tflite::ops::custom::roll::{anonymous}::ExtractIntegerVector(const TfLiteTensor*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/roll.cc:44:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 44 | for (int i = 0; i < result.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/roll.cc: In function ‘TfLiteStatus tflite::ops::custom::roll::Eval(TfLiteContext*, TfLiteNode*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/roll.cc:209:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 209 | for (int i = 0; i < axis_data.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-1x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 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-fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/round.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/round.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/round.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/round.cc [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-2x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-3x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-3x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-3x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-3x8c8-minmax-avxvnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/round.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-3x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-4x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-4x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-4x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-4x8c8-minmax-avxvnni-prfm.c [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-4x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-4x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-4x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-4x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-4x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-5x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-5x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-5x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-5x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-5x8c8-minmax-avxvnni-prfm.c [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-5x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 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-Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-6x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-6x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-6x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-6x8c8-minmax-avxvnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/scatter_nd.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-7x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-7x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-7x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-7x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-7x8c8-minmax-avxvnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-7x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-7x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-7x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-7x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-7x8c8-minmax-avxvnni.c [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f16-qc8w-igemm/gen/qd8-f16-qc8w-igemm-8x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 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-DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c:142:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 142 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/segment_sum.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_2x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni.c:139:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 139 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-2x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c [ 96%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/select.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/select.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/select.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/select.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/select.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:159:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 159 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:160:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 160 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_3x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni.c:156:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 156 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni.c:157:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 157 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/select.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:184:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 184 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:185:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 185 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:186:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 186 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 96%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_4x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c:181:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 181 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c:182:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 182 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c:183:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 183 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c [ 97%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/shape.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/shape.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/shape.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/shape.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/shape.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:209:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:210:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 210 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:211:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 211 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:212:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 212 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c [ 97%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/sign.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/sign.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/sign.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/sign.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/sign.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_5x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:206:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 206 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:207:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 207 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:208:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 208 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:209:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 209 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c [ 97%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/sign_custom.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/sign_custom.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/sign_custom.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/sign_custom.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/sign_custom.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:234:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:235:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:236:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 236 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:237:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:238:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 238 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c [ 97%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/skip_gram.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/skip_gram.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/skip_gram.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/skip_gram.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/skip_gram.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_6x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:231:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 231 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:232:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 232 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:233:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 233 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:234:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:235:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/skip_gram.cc: In function ‘TfLiteStatus tflite::ops::builtin::{anonymous}::Eval(TfLiteContext*, TfLiteNode*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/skip_gram.cc:103:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 103 | if (i > prev_idx && !isspace(*(strref.str + prev_idx))) { | ~~^~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/skip_gram.cc:109:18: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 109 | if (strref.len > prev_idx) { | ~~~~~~~~~~~^~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/skip_gram.cc:115:20: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 115 | if (words.size() < params->ngram_size) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c [ 97%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/slice.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/slice.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/slice.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/slice.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/slice.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:259:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:260:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 260 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:261:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:262:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 262 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:263:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 263 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:264:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 264 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_7x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:256:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 256 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:257:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 257 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:258:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 258 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:259:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 259 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:260:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 260 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:261:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 261 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:284:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:285:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 285 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:286:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 286 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:287:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 287 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:288:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 288 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:289:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 289 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:290:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 290 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/slice.cc:25: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f32_qc4w_gemm_minmax_ukernel_8x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:281:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 281 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:282:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 282 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:283:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 283 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:284:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 284 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:285:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 285 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:286:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 286 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:287:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 287 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc4w-gemm/gen/qd8-f32-qc4w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c4-minmax-avxvnni-u2-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c4-minmax-avxvnni-u2-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c4-minmax-avxvnni-u2-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c4-minmax-avxvnni-u2-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c4-minmax-avxvnni-u2-acc2.c [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c4-minmax-avxvnni-u4-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c4-minmax-avxvnni-u4-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c4-minmax-avxvnni-u4-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c4-minmax-avxvnni-u4-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c4-minmax-avxvnni-u4-acc4.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avxvnni-prfm.c [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-1x8c8-minmax-avxvnni.c [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u2-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u2-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u2-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u2-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u2-acc2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u2-acc2.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x8c4__avxvnni_u2_acc2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u2-acc2.c:55:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 55 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u2-acc2.c:116:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 116 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u4-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u4-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u4-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u4-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u4-acc4.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u4-acc4.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x8c4__avxvnni_u4_acc4’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u4-acc4.c:55:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 55 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u4-acc4.c:138:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 138 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c [ 97%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/space_to_batch_nd.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/space_to_batch_nd.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/space_to_batch_nd.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/space_to_batch_nd.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/space_to_batch_nd.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c:54:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 54 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c:134:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 134 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_2x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni.c:53:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 53 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni.c:130:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 130 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-2x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u2-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u2-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u2-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u2-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u2-acc2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u2-acc2.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x8c4__avxvnni_u2_acc2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u2-acc2.c:61:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u2-acc2.c:62:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 62 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u2-acc2.c:138:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 138 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u2-acc2.c:139:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 139 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u4-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u4-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u4-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u4-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u4-acc4.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/space_to_batch_nd.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u4-acc4.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x8c4__avxvnni_u4_acc4’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u4-acc4.c:61:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u4-acc4.c:62:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 62 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u4-acc4.c:170:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 170 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u4-acc4.c:171:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 171 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:60:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:61:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 61 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:150:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 150 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:151:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 151 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_3x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni.c:59:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 59 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni.c:60:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 60 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni.c:146:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 146 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni.c:147:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 147 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-3x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x8c4__avxvnni_u2_acc2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c:67:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c:68:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c:69:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 69 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c:160:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 160 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c:161:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 161 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c:162:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 162 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x8c4__avxvnni_u4_acc4’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c:67:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c:68:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c:69:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 69 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c:202:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 202 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c:203:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 203 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c:204:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 204 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:66:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:67:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:68:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 68 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:174:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 174 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:175:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 175 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:176:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 176 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c [ 97%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/space_to_depth.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/space_to_depth.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/space_to_depth.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/space_to_depth.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/space_to_depth.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_4x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c:65:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 65 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c:66:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 66 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c:67:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 67 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c:170:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 170 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c:171:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 171 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c:172:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 172 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-4x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_5x8c4__avxvnni_u2_acc2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:73:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:74:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:75:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:76:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 76 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:182:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 182 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:183:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 183 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:184:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 184 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:185:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 185 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_5x8c4__avxvnni_u4_acc4’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:73:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:74:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:75:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:76:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 76 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:234:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 234 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:235:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 235 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:236:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 236 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:237:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 237 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/space_to_depth.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_5x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:72:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:73:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:74:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:75:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 75 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:198:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 198 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:199:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 199 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:200:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 200 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:201:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 201 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_5x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:71:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 71 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:72:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 72 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:73:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 73 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:74:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 74 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:194:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 194 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:195:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 195 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:196:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 196 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:197:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 197 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-5x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_6x8c4__avxvnni_u2_acc2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:79:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:80:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:81:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:82:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:83:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:204:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 204 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:205:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 205 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:206:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 206 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:207:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 207 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:208:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 208 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_6x8c4__avxvnni_u4_acc4’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:79:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:80:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:81:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:82:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:83:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:266:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 266 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:267:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 267 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:268:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 268 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:269:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 269 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:270:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 270 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_6x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:78:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:79:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:80:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:81:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:82:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 82 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:222:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 222 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:223:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 223 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:224:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 224 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:225:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 225 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:226:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 226 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c [ 97%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/sparse_to_dense.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/sparse_to_dense.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/sparse_to_dense.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/sparse_to_dense.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/sparse_to_dense.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_6x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:77:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 77 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:78:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 78 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:79:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 79 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:80:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 80 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:81:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 81 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:218:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 218 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:219:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 219 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:220:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 220 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:221:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 221 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:222:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 222 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-6x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x8c4__avxvnni_u2_acc2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:85:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:86:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:87:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:88:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:89:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:90:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:226:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 226 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:227:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 227 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:228:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 228 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:229:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 229 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:230:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 230 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:231:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 231 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/sparse_to_dense.cc:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x8c4__avxvnni_u4_acc4’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:85:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:86:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:87:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:88:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:89:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:90:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:298:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 298 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:299:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 299 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:300:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 300 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:301:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 301 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:302:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 302 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:303:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 303 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:84:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:85:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:86:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:87:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:88:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:89:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:246:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 246 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:247:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 247 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:248:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 248 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:249:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 249 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:250:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 250 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:251:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 251 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c [ 97%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/split.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/split.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/split.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/split.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/split.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_7x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:83:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 83 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:84:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 84 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:85:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 85 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:86:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 86 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:87:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 87 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:88:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 88 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:242:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 242 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:243:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 243 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:244:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 244 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:245:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 245 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:246:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 246 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:247:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 247 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-7x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_8x8c4__avxvnni_u2_acc2’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:91:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:92:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:93:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:94:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:95:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:96:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:97:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 97 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:248:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 248 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:249:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 249 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:250:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 250 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:251:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 251 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:252:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 252 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:253:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 253 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:254:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 254 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u2-acc2.c:33:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_8x8c4__avxvnni_u4_acc4’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:91:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:92:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:93:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:94:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:95:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:96:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:97:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 97 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:330:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 330 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:331:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 331 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:332:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 332 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:333:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 333 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:334:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 334 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:335:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 335 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:336:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 336 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c4-minmax-avxvnni-u4-acc4.c:33:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 33 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/split.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_8x8c8__avxvnni_prfm’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:90:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:91:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:92:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:93:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:94:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:95:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:96:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 96 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:270:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 270 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:271:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 271 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:272:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 272 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:273:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 273 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:274:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 274 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:275:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 275 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:276:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 276 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni-prfm.c:32:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 32 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c: In function ‘xnn_qd8_f32_qc8w_gemm_minmax_ukernel_8x8c8__avxvnni’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:89:81: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 89 | const __m256i vinput_zero_point1 = _mm256_set1_epi32((int) quantization_params[1].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:90:81: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 90 | const __m256i vinput_zero_point2 = _mm256_set1_epi32((int) quantization_params[2].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:91:81: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 91 | const __m256i vinput_zero_point3 = _mm256_set1_epi32((int) quantization_params[3].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:92:81: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 92 | const __m256i vinput_zero_point4 = _mm256_set1_epi32((int) quantization_params[4].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:93:81: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 93 | const __m256i vinput_zero_point5 = _mm256_set1_epi32((int) quantization_params[5].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:94:81: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 94 | const __m256i vinput_zero_point6 = _mm256_set1_epi32((int) quantization_params[6].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:95:81: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 95 | const __m256i vinput_zero_point7 = _mm256_set1_epi32((int) quantization_params[7].zero_point + 128); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:266:86: warning: array subscript 1 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 266 | vout1x01234567 = _mm256_mul_ps(vout1x01234567, _mm256_set1_ps(quantization_params[1].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 8 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:267:86: warning: array subscript 2 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 267 | vout2x01234567 = _mm256_mul_ps(vout2x01234567, _mm256_set1_ps(quantization_params[2].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 16 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:268:86: warning: array subscript 3 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 268 | vout3x01234567 = _mm256_mul_ps(vout3x01234567, _mm256_set1_ps(quantization_params[3].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 24 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:269:86: warning: array subscript 4 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 269 | vout4x01234567 = _mm256_mul_ps(vout4x01234567, _mm256_set1_ps(quantization_params[4].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 32 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:270:86: warning: array subscript 5 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 270 | vout5x01234567 = _mm256_mul_ps(vout5x01234567, _mm256_set1_ps(quantization_params[5].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 40 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:271:86: warning: array subscript 6 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 271 | vout6x01234567 = _mm256_mul_ps(vout6x01234567, _mm256_set1_ps(quantization_params[6].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 48 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:272:86: warning: array subscript 7 is outside array bounds of ‘const struct xnn_qd8_quantization_params[1]’ [-Warray-bounds=] 272 | vout7x01234567 = _mm256_mul_ps(vout7x01234567, _mm256_set1_ps(quantization_params[7].inv_scale)); | ~~~~~~~~~~~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-gemm/gen/qd8-f32-qc8w-gemm-8x8c8-minmax-avxvnni.c:31:46: note: at offset 56 into object ‘quantization_params’ of size [0, 8] 31 | const struct xnn_qd8_quantization_params quantization_params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-1x8c8-minmax-avxvnni.c [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-2x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-4x8c8-minmax-avxvnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/split_v.cc:21: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avxvnni-prfm.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-5x8c8-minmax-avxvnni.c [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-6x8c8-minmax-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-6x8c8-minmax-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-6x8c8-minmax-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-6x8c8-minmax-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-6x8c8-minmax-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/split_v.cc: In function ‘TfLiteStatus tflite::ops::builtin::split_v::ResizeOutputTensors(TfLiteContext*, TfLiteNode*, const TfLiteTensor*, const TfLiteTensor*, const TfLiteTensor*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/split_v.cc:86:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (int i = 0; i < size_splits_vector.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qd8-f32-qc8w-igemm/gen/qd8-f32-qc8w-igemm-6x8c8-minmax-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC 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-DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC 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-DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x8c8-minmax-fp32-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x8c8-minmax-fp32-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x8c8-minmax-fp32-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-1x8c8-minmax-fp32-avxvnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/squared_difference.cc:22: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avxvnni-prfm.c [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-2x8c8-minmax-fp32-avxvnni.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 97%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [ 98%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-3x8c8-minmax-fp32-avxvnni.c [ 98%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-4x8c8-minmax-fp32-avxvnni-prfm.c [ 98%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/squeeze.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x8c8-minmax-fp32-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x8c8-minmax-fp32-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x8c8-minmax-fp32-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-5x8c8-minmax-fp32-avxvnni.c [ 98%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avxvnni-prfm.c [ 98%] Building CXX object 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CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_composite.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_composite.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_composite.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_composite.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_composite.cc:24: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [ 98%] Building C object 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-6x8c8-minmax-fp32-avxvnni.c [ 98%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x8c8-minmax-fp32-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x8c8-minmax-fp32-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x8c8-minmax-fp32-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x8c8-minmax-fp32-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x8c8-minmax-fp32-avxvnni-prfm.c [ 98%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x8c8-minmax-fp32-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x8c8-minmax-fp32-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x8c8-minmax-fp32-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x8c8-minmax-fp32-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-7x8c8-minmax-fp32-avxvnni.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/c/common.h:31, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_composite.cc:21: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_composite.cc: In function ‘TfLiteStatus tflite::ops::builtin::stablehlo_composite::Prepare(TfLiteContext*, TfLiteNode*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_composite.cc:61:52: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 61 | TF_LITE_ENSURE(context, op_state->subgraph_index < subgraphs->size()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:248:13: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 248 | if ((a) != (b)) { \ | ~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_composite.cc:66:3: note: in expansion of macro ‘TF_LITE_ENSURE_EQ’ 66 | TF_LITE_ENSURE_EQ(context, num_inputs, | ^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:248:13: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 248 | if ((a) != (b)) { \ | ~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_composite.cc:68:3: note: in expansion of macro ‘TF_LITE_ENSURE_EQ’ 68 | TF_LITE_ENSURE_EQ(context, num_outputs, | ^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_composite.cc:25: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::CopyTensorsShapeAndType(TfLiteContext*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&, bool) [with SrcVector = std::vector; DstVector = std::vector; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_composite.cc:78:3: required from here 79 | CopyTensorsShapeAndType(context, this_subgraph, node_inputs, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 80 | decomposition_subgraph, | ~~~~~~~~~~~~~~~~~~~~~~~ 81 | decomposition_subgraph->inputs(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 82 | /*resize_subgraph_inputs=*/true)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:46:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 46 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::DeepOrShallowCopyTensorsShapeTypeData(TfLiteContext*, TfLiteNode*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&) [with SrcVector = std::vector; DstVector = std::vector; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_composite.cc:131:3: required from here 132 | context, DeepOrShallowCopyTensorsShapeTypeData( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 133 | context, node, this_subgraph, node_inputs, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 134 | decomposition_subgraph, decomposition_subgraph->inputs())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:122:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 122 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:141:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 141 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::CopyTensorsShapeAndType(TfLiteContext*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&, bool) [with SrcVector = std::vector; DstVector = tflite::TfLiteIntArrayView; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_composite.cc:185:3: required from here 187 | CopyTensorsShapeAndType(context, decomposition_subgraph, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 188 | decomposition_subgraph->outputs(), this_subgraph, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 189 | TfLiteIntArrayView(node->outputs), false)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:46:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 46 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 98%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::CopyTensorsData(TfLiteContext*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&) [with SrcVector = std::vector; DstVector = tflite::TfLiteIntArrayView; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:110:3: required from ‘TfLiteStatus tflite::ops::builtin::DeepCopyTensorsShapeTypeData(TfLiteContext*, TfLiteNode*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&, bool) [with SrcVector = std::vector; DstVector = tflite::TfLiteIntArrayView; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 111 | CopyTensorsData(context, src_subgraph, src_tensor_indices, /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_composite.cc:143:3: required from here 144 | DeepCopyTensorsShapeTypeData( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 145 | context, node, decomposition_subgraph, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 146 | decomposition_subgraph->outputs(), this_subgraph, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 147 | TfLiteIntArrayView(node->outputs), true)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:77:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 77 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 98%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-gemm/gen/qs8-qc8w-gemm-8x8c8-minmax-fp32-avxvnni.c [ 98%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avxvnni-prfm.c [ 98%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_elementwise.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common 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-DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_elementwise.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_elementwise.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_elementwise.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_elementwise.cc [ 98%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-1x8c8-minmax-fp32-avxvnni.c [ 98%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_gather.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_gather.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_gather.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc [ 98%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-2x8c8-minmax-fp32-avxvnni.c [ 98%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x8c8-minmax-fp32-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x8c8-minmax-fp32-avxvnni-prfm.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x8c8-minmax-fp32-avxvnni-prfm.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x8c8-minmax-fp32-avxvnni-prfm.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x8c8-minmax-fp32-avxvnni-prfm.c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::SetBatchAndOffsetIndices(tflite::ops::builtin::Index&, const int64_t*, int, tflite::ops::builtin::Index&, tflite::ops::builtin::Index&) [with IndexType = int; TfLiteStatus = TfLiteStatus; tflite::ops::builtin::Index = std::vector; int64_t = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:181:5: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 182 | context, SetBatchAndOffsetIndices(result_index, data->offset_dims, /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:230:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 230 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:275:38: required from here 275 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:129:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 129 | for (int result_dim = 0; result_dim < result_index.size(); ++result_dim) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:137:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 137 | if (batch_index_ctr >= result_index.size() - num_offset_dims) { | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:29: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::ScatterIndex(Index&, const int64_t*, int, int64_t, Index*) [with IndexType = int; TfLiteStatus = TfLiteStatus; Index = std::vector; int64_t = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:191:17: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 191 | ScatterIndex(starting_index_vector, data->start_index_map, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 192 | data->num_start_index_map, operand_rank, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 193 | &final_starting_index); | ~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:230:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 230 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:275:38: required from here 275 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h:57:27: warning: comparison of integer expressions of different signedness: ‘const int64_t’ {aka ‘const long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 57 | if (scatter_dims[idx] >= result->size()) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::ClipStartingIndex(const tflite::RuntimeShape&, const int64_t*, int, tflite::ops::builtin::Index&) [with IndexType = int; TfLiteStatus = TfLiteStatus; int64_t = long int; tflite::ops::builtin::Index = std::vector]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:195:5: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 197 | ClipStartingIndex(operand_shape, data->slice_sizes, /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:230:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 230 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:275:38: required from here 275 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:54:39: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 54 | if (operand_shape.DimensionsCount() != starting_index.size() || | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:58:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int dim = 0; dim < starting_index.size(); ++dim) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::ExpandDims(Index&, const int64_t*, int, Index*) [with IndexType = int; TfLiteStatus = TfLiteStatus; Index = std::vector; int64_t = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:201:15: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 201 | ExpandDims(offset_index, data->collapsed_slice_dims, | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 202 | data->num_collapsed_slice_dims, &full_offset_index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:230:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 230 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:275:38: required from here 275 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h:101:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 101 | for (int idx = 0; idx < index.size(); ++idx) { | ~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h: In instantiation of ‘tflite::ops::builtin::Index tflite::ops::builtin::AddIndices(Index&, Index&) [with IndexType = int; Index = std::vector]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:205:19: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 205 | AddIndices(final_starting_index, full_offset_index); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:230:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 230 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:275:38: required from here 275 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h:85:29: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 85 | for (int64_t dim = 0; dim < index1.size(); ++dim) { | ~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::SetBatchAndOffsetIndices(tflite::ops::builtin::Index&, const int64_t*, int, tflite::ops::builtin::Index&, tflite::ops::builtin::Index&) [with IndexType = long int; TfLiteStatus = TfLiteStatus; tflite::ops::builtin::Index = std::vector; int64_t = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:181:5: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = long int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 182 | context, SetBatchAndOffsetIndices(result_index, data->offset_dims, /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:230:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 230 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:277:38: required from here 277 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:129:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 129 | for (int result_dim = 0; result_dim < result_index.size(); ++result_dim) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:137:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 137 | if (batch_index_ctr >= result_index.size() - num_offset_dims) { | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::ScatterIndex(Index&, const int64_t*, int, int64_t, Index*) [with IndexType = long int; TfLiteStatus = TfLiteStatus; Index = std::vector; int64_t = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:191:17: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = long int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 191 | ScatterIndex(starting_index_vector, data->start_index_map, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 192 | data->num_start_index_map, operand_rank, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 193 | &final_starting_index); | ~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:230:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 230 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:277:38: required from here 277 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h:57:27: warning: comparison of integer expressions of different signedness: ‘const int64_t’ {aka ‘const long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 57 | if (scatter_dims[idx] >= result->size()) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::ClipStartingIndex(const tflite::RuntimeShape&, const int64_t*, int, tflite::ops::builtin::Index&) [with IndexType = long int; TfLiteStatus = TfLiteStatus; int64_t = long int; tflite::ops::builtin::Index = std::vector]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:195:5: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = long int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 197 | ClipStartingIndex(operand_shape, data->slice_sizes, /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:230:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 230 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:277:38: required from here 277 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:54:39: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 54 | if (operand_shape.DimensionsCount() != starting_index.size() || | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:58:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int dim = 0; dim < starting_index.size(); ++dim) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::ExpandDims(Index&, const int64_t*, int, Index*) [with IndexType = long int; TfLiteStatus = TfLiteStatus; Index = std::vector; int64_t = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:201:15: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = long int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 201 | ExpandDims(offset_index, data->collapsed_slice_dims, | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 202 | data->num_collapsed_slice_dims, &full_offset_index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:230:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 230 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:277:38: required from here 277 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h:101:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 101 | for (int idx = 0; idx < index.size(); ++idx) { | ~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h: In instantiation of ‘tflite::ops::builtin::Index tflite::ops::builtin::AddIndices(Index&, Index&) [with IndexType = long int; Index = std::vector]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:205:19: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = long int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 205 | AddIndices(final_starting_index, full_offset_index); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:230:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_gather::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 230 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_gather.cc:277:38: required from here 277 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h:85:29: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 85 | for (int64_t dim = 0; dim < index1.size(); ++dim) { | ~~~~^~~~~~~~~~~~~~~ [ 98%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x8c8-minmax-fp32-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -mf16c -mfma -mavx2 -mavxvnni -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x8c8-minmax-fp32-avxvnni.c.o -MF CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x8c8-minmax-fp32-avxvnni.c.o.d -o CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x8c8-minmax-fp32-avxvnni.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-3x8c8-minmax-fp32-avxvnni.c [ 98%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-4x8c8-minmax-fp32-avxvnni-prfm.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src 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object CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_pad.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_pad.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_pad.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_pad.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_pad.cc [100%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/qs8-qc8w-igemm/gen/qs8-qc8w-igemm-8x8c8-minmax-fp32-avxvnni.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 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_deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/tables/exp2-k-over-64.c.o -MF CMakeFiles/microkernels-all.dir/src/tables/exp2-k-over-64.c.o.d -o CMakeFiles/microkernels-all.dir/src/tables/exp2-k-over-64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/exp2-k-over-64.c [100%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/tables/exp2-k-over-2048.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include 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/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/exp2-k-over-2048.c [100%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-4.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-8.c.o -MF CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-8.c.o.d -o CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-8.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/exp2minus-k-over-8.c [100%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-16.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-16.c.o -MF CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-16.c.o.d -o CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-16.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/exp2minus-k-over-16.c In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:32: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [100%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-32.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla 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-Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-32.c.o -MF CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-32.c.o.d -o CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-32.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/exp2minus-k-over-32.c [100%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-64.c.o cd 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-specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-64.c.o -MF CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-64.c.o.d -o CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-64.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/exp2minus-k-over-64.c [100%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-2048.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-2048.c.o -MF CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-2048.c.o.d -o CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-2048.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/exp2minus-k-over-2048.c [100%] Building C object _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/tables/vlog.c.o cd /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/_deps/xnnpack-build && /usr/bin/gcc -DFXDIV_USE_INLINE_ASSEMBLY=0 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -DXNN_ENABLE_ARM_BF16=1 -DXNN_ENABLE_ARM_DOTPROD=1 -DXNN_ENABLE_ARM_FP16_SCALAR=1 -DXNN_ENABLE_ARM_FP16_VECTOR=1 -DXNN_ENABLE_ARM_I8MM=1 -DXNN_ENABLE_ASSEMBLY=1 -DXNN_ENABLE_AVX512AMX=1 -DXNN_ENABLE_AVX512FP16X=1 -DXNN_ENABLE_AVXVNNI=1 -DXNN_ENABLE_CPUINFO=1 -DXNN_ENABLE_DWCONV_MULTIPASS=0 -DXNN_ENABLE_GEMM_M_SPECIALIZATION=1 -DXNN_ENABLE_JIT=0 -DXNN_ENABLE_MEMOPT=1 -DXNN_ENABLE_RISCV_VECTOR=1 -DXNN_ENABLE_SPARSE=1 -DXNN_ENABLE_VSX=1 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FXdiv-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=c99 -fPIC -Wno-psabi -O2 -pthread -MD -MT _deps/xnnpack-build/CMakeFiles/microkernels-all.dir/src/tables/vlog.c.o -MF CMakeFiles/microkernels-all.dir/src/tables/vlog.c.o.d -o CMakeFiles/microkernels-all.dir/src/tables/vlog.c.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/src/tables/vlog.c gmake[2]: Leaving directory '/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build' [100%] Built target microkernels-all [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_scatter.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_scatter.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_scatter.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/stablehlo_scatter.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:27: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In member function ‘TfLiteReduceWindowFunction tflite::ops::builtin::reduce_window_op::{anonymous}::StablehloData::GetBodyFunction()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:675:29: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 675 | if (body_subgraph_index >= subgraphs.size()) { | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::plus; Type = signed char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:838:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::plus; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:880:51: required from here 880 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::plus; Type = short int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:840:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::plus; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:880:51: required from here 880 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::plus; Type = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:841:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::plus; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:880:51: required from here 880 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::plus; Type = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:842:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::plus; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:880:51: required from here 880 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::plus; Type = unsigned char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:843:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::plus; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:880:51: required from here 880 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::plus; Type = float]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:844:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::plus; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:880:51: required from here 880 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::plus; Type = double]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:845:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::plus; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:880:51: required from here 880 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::multiplies; Type = signed char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:838:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::multiplies; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:882:57: required from here 882 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::multiplies; Type = short int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:840:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::multiplies; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:882:57: required from here 882 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::multiplies; Type = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:841:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::multiplies; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:882:57: required from here 882 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::multiplies; Type = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:842:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::multiplies; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:882:57: required from here 882 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::multiplies; Type = unsigned char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:843:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::multiplies; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:882:57: required from here 882 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::multiplies; Type = float]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:844:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::multiplies; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:882:57: required from here 882 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::multiplies; Type = double]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:845:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::multiplies; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:882:57: required from here 882 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::logical_and; Type = signed char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:838:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::logical_and; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:884:58: required from here 884 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::logical_and; Type = short int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:840:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::logical_and; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:884:58: required from here 884 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::logical_and; Type = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:841:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::logical_and; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:884:58: required from here 884 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::logical_and; Type = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:842:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::logical_and; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:884:58: required from here 884 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::logical_and; Type = unsigned char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:843:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::logical_and; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:884:58: required from here 884 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::logical_and; Type = float]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:844:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::logical_and; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:884:58: required from here 884 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::logical_and; Type = double]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:845:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::logical_and; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:884:58: required from here 884 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::logical_or; Type = signed char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:838:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::logical_or; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:886:57: required from here 886 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::logical_or; Type = short int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:840:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::logical_or; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:886:57: required from here 886 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::logical_or; Type = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:841:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::logical_or; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:886:57: required from here 886 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::logical_or; Type = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:842:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::logical_or; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:886:57: required from here 886 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::logical_or; Type = unsigned char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:843:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::logical_or; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:886:57: required from here 886 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::logical_or; Type = float]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:844:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::logical_or; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:886:57: required from here 886 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = std::logical_or; Type = double]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:845:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = std::logical_or; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:886:57: required from here 886 | return DispatchReduceWindowType>(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = Min; Type = signed char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:838:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = Min; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:888:43: required from here 888 | return DispatchReduceWindowType(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = Min; Type = short int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:840:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = Min; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:888:43: required from here 888 | return DispatchReduceWindowType(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = Min; Type = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:841:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = Min; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:888:43: required from here 888 | return DispatchReduceWindowType(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = Min; Type = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:842:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = Min; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:888:43: required from here 888 | return DispatchReduceWindowType(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = Min; Type = unsigned char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:843:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = Min; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:888:43: required from here 888 | return DispatchReduceWindowType(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = Min; Type = float]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:844:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = Min; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:888:43: required from here 888 | return DispatchReduceWindowType(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = Min; Type = double]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:845:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = Min; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:888:43: required from here 888 | return DispatchReduceWindowType(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = Max; Type = signed char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:838:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = Max; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:890:43: required from here 890 | return DispatchReduceWindowType(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = Max; Type = short int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:840:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = Max; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:890:43: required from here 890 | return DispatchReduceWindowType(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = Max; Type = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:841:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = Max; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:890:43: required from here 890 | return DispatchReduceWindowType(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = Max; Type = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:842:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = Max; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:890:43: required from here 890 | return DispatchReduceWindowType(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = Max; Type = unsigned char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:843:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = Max; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:890:43: required from here 890 | return DispatchReduceWindowType(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = Max; Type = float]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:844:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = Max; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:890:43: required from here 890 | return DispatchReduceWindowType(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc: In instantiation of ‘void tflite::ops::builtin::reduce_window_op::{anonymous}::PadCropReduceWindow(const OpData&) [with Op = Max; Type = double]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:845:5: required from ‘TfLiteStatus tflite::ops::builtin::reduce_window_op::{anonymous}::DispatchReduceWindowType(OpData&) [with Op = Max; TfLiteStatus = TfLiteStatus]’ 835 | PadCropReduceWindow(ctx); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:890:43: required from here 890 | return DispatchReduceWindowType(ctx); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_reduce_window.cc:808:18: warning: variable ‘input_shape’ set but not used [-Wunused-but-set-variable] 808 | const int64_t* input_shape = op_ctx.input_dims; | ^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc: In function ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::Prepare(TfLiteContext*, TfLiteNode*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:355:47: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 355 | if (data->update_computation_subgraph_index >= subgraphs->size()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:32: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::ScatterIndex(Index&, const int64_t*, int, int64_t, Index*) [with IndexType = int; TfLiteStatus = TfLiteStatus; Index = std::vector; int64_t = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:249:5: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 249 | TF_LITE_ENSURE_STATUS(ScatterIndex( /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:296:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 296 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:385:38: required from here 385 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h:57:27: warning: comparison of integer expressions of different signedness: ‘const int64_t’ {aka ‘const long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 57 | if (scatter_dims[idx] >= result->size()) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::ExpandDims(Index&, const int64_t*, int, Index*) [with IndexType = int; TfLiteStatus = TfLiteStatus; Index = std::vector; int64_t = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:260:5: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 260 | TF_LITE_ENSURE_STATUS(ExpandDims(window_index, data->inserted_window_dims, /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:296:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 296 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:385:38: required from here 385 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h:101:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 101 | for (int idx = 0; idx < index.size(); ++idx) { | ~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h: In instantiation of ‘tflite::ops::builtin::Index tflite::ops::builtin::AddIndices(Index&, Index&) [with IndexType = int; Index = std::vector]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:265:19: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 265 | AddIndices(full_start_index, full_window_index); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:296:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 296 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:385:38: required from here 385 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h:85:29: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 85 | for (int64_t dim = 0; dim < index1.size(); ++dim) { | ~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc: In instantiation of ‘bool tflite::ops::builtin::stablehlo_scatter::{anonymous}::IsInBounds(tflite::ops::builtin::Index, tflite::RuntimeShape) [with IndexType = int; tflite::ops::builtin::Index = std::vector]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:270:20: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 270 | if (!IsInBounds(result_index, input_shape)) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:296:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 296 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:385:38: required from here 385 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:98:20: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int32_t’ {aka ‘int’} [-Wsign-compare] 98 | if (index.size() != shape.DimensionsCount()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::ScatterIndex(Index&, const int64_t*, int, int64_t, Index*) [with IndexType = long int; TfLiteStatus = TfLiteStatus; Index = std::vector; int64_t = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:249:5: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = long int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 249 | TF_LITE_ENSURE_STATUS(ScatterIndex( /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:296:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 296 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:387:38: required from here 387 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h:57:27: warning: comparison of integer expressions of different signedness: ‘const int64_t’ {aka ‘const long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 57 | if (scatter_dims[idx] >= result->size()) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::ExpandDims(Index&, const int64_t*, int, Index*) [with IndexType = long int; TfLiteStatus = TfLiteStatus; Index = std::vector; int64_t = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:260:5: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = long int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 260 | TF_LITE_ENSURE_STATUS(ExpandDims(window_index, data->inserted_window_dims, /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:296:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 296 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:387:38: required from here 387 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h:101:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 101 | for (int idx = 0; idx < index.size(); ++idx) { | ~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h: In instantiation of ‘tflite::ops::builtin::Index tflite::ops::builtin::AddIndices(Index&, Index&) [with IndexType = long int; Index = std::vector]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:265:19: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = long int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 265 | AddIndices(full_start_index, full_window_index); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:296:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 296 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:387:38: required from here 387 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.h:85:29: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 85 | for (int64_t dim = 0; dim < index1.size(); ++dim) { | ~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc: In instantiation of ‘bool tflite::ops::builtin::stablehlo_scatter::{anonymous}::IsInBounds(tflite::ops::builtin::Index, tflite::RuntimeShape) [with IndexType = long int; tflite::ops::builtin::Index = std::vector]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:270:20: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithTypes(TfLiteContext*, TfLiteNode*) [with IndexType = long int; DataType = Eigen::half; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 270 | if (!IsInBounds(result_index, input_shape)) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:296:51: required from ‘TfLiteStatus tflite::ops::builtin::stablehlo_scatter::{anonymous}::EvalWithIndexType(TfLiteContext*, TfLiteNode*, TfLiteType, TfLiteType) [with IndexType = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 296 | return EvalWithTypes(context, node); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:387:38: required from here 387 | return EvalWithIndexType(context, node, index_type, data_type); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/stablehlo_scatter.cc:98:20: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int32_t’ {aka ‘int’} [-Wsign-compare] 98 | if (index.size() != shape.DimensionsCount()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/strided_slice.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/strided_slice.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/strided_slice.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/strided_slice.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/strided_slice.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/sub.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/sub.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/sub.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/sub.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/sub.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/svdf.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/svdf.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/svdf.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/svdf.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/svdf.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/svdf.cc:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/svdf.h: In function ‘void tflite::reference_ops::EvalHybridSVDF(const TfLiteSVDFParams*, const tflite::RuntimeShape&, const float*, const tflite::RuntimeShape&, const int8_t*, float, const tflite::RuntimeShape&, const float*, const tflite::RuntimeShape&, const float*, float*, float*, int8_t*, float*, const tflite::RuntimeShape&, float*, int32_t*, int32_t*, bool*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/svdf.h:225:54: warning: passing argument 7 to ‘restrict’-qualified parameter aliases with argument 10 [-Wrestrict] 225 | tensor_utils::MatrixBatchVectorMultiplyAccumulate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 226 | weights_feature_data, num_filters, input_size, quantized_input, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 227 | scaling_factors, batch_size, scratch, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | /*per_channel_scale=*/nullptr, zero_points, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | reinterpret_cast(scratch), row_sums, compute_row_sums, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 230 | /*context=*/nullptr); | ~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/sub.cc:29: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/table.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/table.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/table.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/table.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/table.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/tensor_slice_util.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/tensor_slice_util.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/tensor_slice_util.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/tensor_slice_util.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tensor_slice_util.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/tile.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/tile.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/tile.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/tile.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tile.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/tile.cc:22: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/topk_v2.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/topk_v2.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/topk_v2.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/topk_v2.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc: In instantiation of ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopContainer::push(Tidx) [with T = float; Tidx = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:192:16: required from ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopK(int32, int32, const T*, int32, Tidx*, T*) [with T = float; Tidx = int; int32 = int]’ 192 | topc.push(c); | ~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:261:11: required from ‘TfLiteStatus tflite::ops::builtin::topk_v2::TopKImpl(TfLiteContext*, TfLiteNode*, int32_t, idx_type*) [with idx_type = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; int32_t = int]’ 261 | TopK(row_size, num_rows, GetTensorData(input), k, output_indexes, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 262 | GetTensorData(output_values)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:322:22: required from here 322 | return TopKImpl(context, node, k, GetTensorData(output_indexes)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:118:29: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 118 | if (container_.size() == k_ + 1) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc: In instantiation of ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopContainer::push(Tidx) [with T = unsigned char; Tidx = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:192:16: required from ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopK(int32, int32, const T*, int32, Tidx*, T*) [with T = unsigned char; Tidx = int; int32 = int]’ 192 | topc.push(c); | ~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:265:11: required from ‘TfLiteStatus tflite::ops::builtin::topk_v2::TopKImpl(TfLiteContext*, TfLiteNode*, int32_t, idx_type*) [with idx_type = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; int32_t = int]’ 265 | TopK(row_size, num_rows, GetTensorData(input), k, output_indexes, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 266 | output_values->data.uint8); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:322:22: required from here 322 | return TopKImpl(context, node, k, GetTensorData(output_indexes)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:118:29: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 118 | if (container_.size() == k_ + 1) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc: In instantiation of ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopContainer::push(Tidx) [with T = signed char; Tidx = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:192:16: required from ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopK(int32, int32, const T*, int32, Tidx*, T*) [with T = signed char; Tidx = int; int32 = int]’ 192 | topc.push(c); | ~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:269:11: required from ‘TfLiteStatus tflite::ops::builtin::topk_v2::TopKImpl(TfLiteContext*, TfLiteNode*, int32_t, idx_type*) [with idx_type = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; int32_t = int]’ 269 | TopK(row_size, num_rows, GetTensorData(input), k, output_indexes, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 270 | output_values->data.int8); | ~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:322:22: required from here 322 | return TopKImpl(context, node, k, GetTensorData(output_indexes)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:118:29: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 118 | if (container_.size() == k_ + 1) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc: In instantiation of ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopContainer::push(Tidx) [with T = short int; Tidx = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:192:16: required from ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopK(int32, int32, const T*, int32, Tidx*, T*) [with T = short int; Tidx = int; int32 = int]’ 192 | topc.push(c); | ~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:273:11: required from ‘TfLiteStatus tflite::ops::builtin::topk_v2::TopKImpl(TfLiteContext*, TfLiteNode*, int32_t, idx_type*) [with idx_type = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; int32_t = int]’ 273 | TopK(row_size, num_rows, GetTensorData(input), k, output_indexes, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | output_values->data.i16); | ~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:322:22: required from here 322 | return TopKImpl(context, node, k, GetTensorData(output_indexes)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:118:29: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 118 | if (container_.size() == k_ + 1) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc: In instantiation of ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopContainer::push(Tidx) [with T = int; Tidx = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:192:16: required from ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopK(int32, int32, const T*, int32, Tidx*, T*) [with T = int; Tidx = int; int32 = int]’ 192 | topc.push(c); | ~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:277:11: required from ‘TfLiteStatus tflite::ops::builtin::topk_v2::TopKImpl(TfLiteContext*, TfLiteNode*, int32_t, idx_type*) [with idx_type = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; int32_t = int]’ 277 | TopK(row_size, num_rows, GetTensorData(input), k, output_indexes, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 278 | output_values->data.i32); | ~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:322:22: required from here 322 | return TopKImpl(context, node, k, GetTensorData(output_indexes)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:118:29: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 118 | if (container_.size() == k_ + 1) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc: In instantiation of ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopContainer::push(Tidx) [with T = long int; Tidx = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:192:16: required from ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopK(int32, int32, const T*, int32, Tidx*, T*) [with T = long int; Tidx = int; int32 = int]’ 192 | topc.push(c); | ~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:281:11: required from ‘TfLiteStatus tflite::ops::builtin::topk_v2::TopKImpl(TfLiteContext*, TfLiteNode*, int32_t, idx_type*) [with idx_type = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; int32_t = int]’ 281 | TopK(row_size, num_rows, GetTensorData(input), k, output_indexes, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 282 | output_values->data.i64); | ~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:322:22: required from here 322 | return TopKImpl(context, node, k, GetTensorData(output_indexes)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:118:29: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 118 | if (container_.size() == k_ + 1) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc: In instantiation of ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopContainer::push(Tidx) [with T = float; Tidx = short int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:192:16: required from ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopK(int32, int32, const T*, int32, Tidx*, T*) [with T = float; Tidx = short int; int32 = int]’ 192 | topc.push(c); | ~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:261:11: required from ‘TfLiteStatus tflite::ops::builtin::topk_v2::TopKImpl(TfLiteContext*, TfLiteNode*, int32_t, idx_type*) [with idx_type = short int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; int32_t = int]’ 261 | TopK(row_size, num_rows, GetTensorData(input), k, output_indexes, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 262 | GetTensorData(output_values)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:325:22: required from here 325 | return TopKImpl(context, node, k, GetTensorData(output_indexes)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:118:29: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 118 | if (container_.size() == k_ + 1) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc: In instantiation of ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopContainer::push(Tidx) [with T = unsigned char; Tidx = short int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:192:16: required from ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopK(int32, int32, const T*, int32, Tidx*, T*) [with T = unsigned char; Tidx = short int; int32 = int]’ 192 | topc.push(c); | ~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:265:11: required from ‘TfLiteStatus tflite::ops::builtin::topk_v2::TopKImpl(TfLiteContext*, TfLiteNode*, int32_t, idx_type*) [with idx_type = short int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; int32_t = int]’ 265 | TopK(row_size, num_rows, GetTensorData(input), k, output_indexes, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 266 | output_values->data.uint8); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:325:22: required from here 325 | return TopKImpl(context, node, k, GetTensorData(output_indexes)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:118:29: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 118 | if (container_.size() == k_ + 1) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc: In instantiation of ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopContainer::push(Tidx) [with T = signed char; Tidx = short int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:192:16: required from ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopK(int32, int32, const T*, int32, Tidx*, T*) [with T = signed char; Tidx = short int; int32 = int]’ 192 | topc.push(c); | ~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:269:11: required from ‘TfLiteStatus tflite::ops::builtin::topk_v2::TopKImpl(TfLiteContext*, TfLiteNode*, int32_t, idx_type*) [with idx_type = short int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; int32_t = int]’ 269 | TopK(row_size, num_rows, GetTensorData(input), k, output_indexes, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 270 | output_values->data.int8); | ~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:325:22: required from here 325 | return TopKImpl(context, node, k, GetTensorData(output_indexes)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:118:29: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 118 | if (container_.size() == k_ + 1) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc: In instantiation of ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopContainer::push(Tidx) [with T = short int; Tidx = short int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:192:16: required from ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopK(int32, int32, const T*, int32, Tidx*, T*) [with T = short int; Tidx = short int; int32 = int]’ 192 | topc.push(c); | ~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:273:11: required from ‘TfLiteStatus tflite::ops::builtin::topk_v2::TopKImpl(TfLiteContext*, TfLiteNode*, int32_t, idx_type*) [with idx_type = short int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; int32_t = int]’ 273 | TopK(row_size, num_rows, GetTensorData(input), k, output_indexes, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | output_values->data.i16); | ~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:325:22: required from here 325 | return TopKImpl(context, node, k, GetTensorData(output_indexes)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:118:29: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 118 | if (container_.size() == k_ + 1) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc: In instantiation of ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopContainer::push(Tidx) [with T = int; Tidx = short int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:192:16: required from ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopK(int32, int32, const T*, int32, Tidx*, T*) [with T = int; Tidx = short int; int32 = int]’ 192 | topc.push(c); | ~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:277:11: required from ‘TfLiteStatus tflite::ops::builtin::topk_v2::TopKImpl(TfLiteContext*, TfLiteNode*, int32_t, idx_type*) [with idx_type = short int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; int32_t = int]’ 277 | TopK(row_size, num_rows, GetTensorData(input), k, output_indexes, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 278 | output_values->data.i32); | ~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:325:22: required from here 325 | return TopKImpl(context, node, k, GetTensorData(output_indexes)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:118:29: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 118 | if (container_.size() == k_ + 1) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc: In instantiation of ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopContainer::push(Tidx) [with T = long int; Tidx = short int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:192:16: required from ‘void tflite::ops::builtin::topk_v2::{anonymous}::TopK(int32, int32, const T*, int32, Tidx*, T*) [with T = long int; Tidx = short int; int32 = int]’ 192 | topc.push(c); | ~~~~~~~~~^~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:281:11: required from ‘TfLiteStatus tflite::ops::builtin::topk_v2::TopKImpl(TfLiteContext*, TfLiteNode*, int32_t, idx_type*) [with idx_type = short int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode; int32_t = int]’ 281 | TopK(row_size, num_rows, GetTensorData(input), k, output_indexes, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 282 | output_values->data.i64); | ~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:325:22: required from here 325 | return TopKImpl(context, node, k, GetTensorData(output_indexes)); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/topk_v2.cc:118:29: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 118 | if (container_.size() == k_ + 1) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/transpose.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/transpose.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/transpose.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/transpose.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/transpose.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/transpose_conv.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/transpose_conv.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/transpose_conv.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/transpose_conv.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/transpose_conv.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:47, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/transpose.cc:28: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/transpose_conv.cc:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:56, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/integer_ops/transpose_conv.h:20, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/transpose_conv.cc:26: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::ShuffledFullyConnectedWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:879:34: required from here 879 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 880 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::optimized_ops::SoftmaxWorkerTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:3482:36: required from here 3482 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 3483 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = float; RhsScalar = float; AccumScalar = float; DstScalar = float; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kFloatingPoint]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:306:25: required from here 306 | cpu_backend_gemm::Gemm(lhs_params, weights_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 308 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = unsigned char; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:369:25: required from here 369 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 371 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In instantiation of ‘void gemmlowp::WorkersPool::Execute(int, TaskType*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_threadpool.h:52:67: required from ‘void tflite::cpu_backend_threadpool::Execute(int, TaskType*, tflite::CpuBackendContext*) [with TaskType = tflite::cpu_backend_gemm::detail::CustomGemvTask]’ 52 | cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 53 | tasks); | ~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm_custom_gemv.h:184:36: required from ‘bool tflite::cpu_backend_gemm::detail::CustomGemv(const tflite::cpu_backend_gemm::MatrixParams&, const LhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, const RhsScalar*, const tflite::cpu_backend_gemm::MatrixParams&, DstScalar*, const tflite::cpu_backend_gemm::GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; tflite::cpu_backend_gemm::QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 184 | cpu_backend_threadpool::Execute(tasks.size(), tasks.data(), context); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_gemm.h:163:27: required from ‘void tflite::cpu_backend_gemm::Gemm(const MatrixParams&, const LhsScalar*, const MatrixParams&, const RhsScalar*, const MatrixParams&, DstScalar*, const GemmParams&, tflite::CpuBackendContext*) [with LhsScalar = unsigned char; RhsScalar = unsigned char; AccumScalar = int; DstScalar = short int; QuantizationFlavor quantization_flavor = tflite::cpu_backend_gemm::QuantizationFlavor::kIntegerWithUniformMultiplier]’ 163 | if (detail::CustomGemv(lhs_params, lhs_data, rhs_params, rhs_data, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | dst_params, dst_data, params, context)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/optimized/optimized_ops.h:430:25: required from here 430 | cpu_backend_gemm::Gemm(lhs_params, filter_data, rhs_params, input_data, | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 431 | dst_params, output_data, gemm_params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 432 | cpu_backend_context); | ~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:385:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 385 | for (std::size_t i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_gru.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_gru.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_gru.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_gru.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unidirectional_sequence_gru.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unidirectional_sequence_gru.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_lstm.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_lstm.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_lstm.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_lstm.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unidirectional_sequence_lstm.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/dispatch_gemm_shape.h:23, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/gemmlowp.h:19, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/cpu_backend_context.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unidirectional_sequence_lstm.cc:23: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h: In member function ‘void gemmlowp::WorkersPool::LegacyExecuteAndDestroyTasks(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp/public/../internal/multi_thread_gemm.h:405:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < tasks_count - 1; i++) { | ~~^~~~~~~~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_rnn.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_rnn.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_rnn.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/unidirectional_sequence_rnn.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unidirectional_sequence_rnn.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/unique.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/unique.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/unique.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/unique.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:25: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = signed char; I = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:120:34: required from ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = signed char; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’ 120 | return EvalImpl(context, input, node); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:145:7: required from here 145 | TF_LITE_ENSURE_STATUS(EvalImpl(context, input, node)); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:104:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for (int i = 0; i < output_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = signed char; I = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:122:34: required from ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = signed char; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’ 122 | return EvalImpl(context, input, node); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:145:7: required from here 145 | TF_LITE_ENSURE_STATUS(EvalImpl(context, input, node)); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:104:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for (int i = 0; i < output_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = short int; I = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:120:34: required from ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = short int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’ 120 | return EvalImpl(context, input, node); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:148:7: required from here 148 | TF_LITE_ENSURE_STATUS(EvalImpl(context, input, node)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:104:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for (int i = 0; i < output_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = short int; I = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:122:34: required from ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = short int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’ 122 | return EvalImpl(context, input, node); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:148:7: required from here 148 | TF_LITE_ENSURE_STATUS(EvalImpl(context, input, node)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:104:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for (int i = 0; i < output_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = int; I = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:120:34: required from ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’ 120 | return EvalImpl(context, input, node); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:151:7: required from here 151 | TF_LITE_ENSURE_STATUS(EvalImpl(context, input, node)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:104:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for (int i = 0; i < output_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = int; I = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:122:34: required from ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’ 122 | return EvalImpl(context, input, node); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:151:7: required from here 151 | TF_LITE_ENSURE_STATUS(EvalImpl(context, input, node)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:104:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for (int i = 0; i < output_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = long int; I = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:120:34: required from ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’ 120 | return EvalImpl(context, input, node); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:154:7: required from here 154 | TF_LITE_ENSURE_STATUS(EvalImpl(context, input, node)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:104:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for (int i = 0; i < output_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = long int; I = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:122:34: required from ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’ 122 | return EvalImpl(context, input, node); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:154:7: required from here 154 | TF_LITE_ENSURE_STATUS(EvalImpl(context, input, node)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:104:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for (int i = 0; i < output_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = float; I = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:120:34: required from ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = float; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’ 120 | return EvalImpl(context, input, node); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:157:7: required from here 157 | TF_LITE_ENSURE_STATUS(EvalImpl(context, input, node)); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:104:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for (int i = 0; i < output_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = float; I = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:122:34: required from ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = float; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’ 122 | return EvalImpl(context, input, node); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:157:7: required from here 157 | TF_LITE_ENSURE_STATUS(EvalImpl(context, input, node)); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:104:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for (int i = 0; i < output_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = unsigned char; I = int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:120:34: required from ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = unsigned char; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’ 120 | return EvalImpl(context, input, node); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:160:7: required from here 160 | TF_LITE_ENSURE_STATUS(EvalImpl(context, input, node)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:104:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for (int i = 0; i < output_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc: In instantiation of ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = unsigned char; I = long int; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:122:34: required from ‘TfLiteStatus tflite::ops::builtin::unique::{anonymous}::EvalImpl(TfLiteContext*, const TfLiteTensor*, TfLiteNode*) [with T = unsigned char; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteTensor = TfLiteTensor; TfLiteNode = TfLiteNode]’ 122 | return EvalImpl(context, input, node); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:160:7: required from here 160 | TF_LITE_ENSURE_STATUS(EvalImpl(context, input, node)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unique.cc:104:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for (int i = 0; i < output_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/unpack.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/unpack.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/unpack.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/unpack.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unpack.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/unsorted_segment.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/unsorted_segment.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/unsorted_segment.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/unsorted_segment.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unsorted_segment.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unpack.cc:20: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/unsorted_segment.cc:22: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/var_handle.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/var_handle.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/var_handle.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/var_handle.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/var_handle.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/var_handle.cc:24: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/where.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/where.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/where.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/where.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/where.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:83, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/where.cc:19: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h: In function ‘bool tflite::reference_ops::StringRefEqualFn(const tflite::StringRef&, const tflite::StringRef&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/string_comparisons.h:30:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 30 | for (int i = 0; i < lhs.len; ++i) { | ~~^~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h: In instantiation of ‘void tflite::reference_ops::SelectTrueCoords(const tflite::RuntimeShape&, const D*, T*) [with D = bool; T = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/where.cc:163:38: required from here 163 | reference_ops::SelectTrueCoords(GetTensorShape(cond_tensor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 164 | GetTensorData(cond_tensor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | GetTensorData(output)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:782:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 782 | for (int i = 0; i < cond_rank; ++i) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:788:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 788 | for (int i = 0; i < size; ++i) { | ~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:792:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 792 | for (int j = 0; j < cond_rank; ++j) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h: In instantiation of ‘void tflite::reference_ops::SelectTrueCoords(const tflite::RuntimeShape&, const D*, T*) [with D = float; T = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/where.cc:168:38: required from here 168 | reference_ops::SelectTrueCoords(GetTensorShape(cond_tensor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 169 | GetTensorData(cond_tensor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 170 | GetTensorData(output)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:782:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 782 | for (int i = 0; i < cond_rank; ++i) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:788:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 788 | for (int i = 0; i < size; ++i) { | ~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:792:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 792 | for (int j = 0; j < cond_rank; ++j) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h: In instantiation of ‘void tflite::reference_ops::SelectTrueCoords(const tflite::RuntimeShape&, const D*, T*) [with D = long int; T = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/where.cc:173:38: required from here 173 | reference_ops::SelectTrueCoords(GetTensorShape(cond_tensor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 174 | GetTensorData(cond_tensor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 175 | GetTensorData(output)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:782:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 782 | for (int i = 0; i < cond_rank; ++i) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:788:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 788 | for (int i = 0; i < size; ++i) { | ~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:792:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 792 | for (int j = 0; j < cond_rank; ++j) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h: In instantiation of ‘void tflite::reference_ops::SelectTrueCoords(const tflite::RuntimeShape&, const D*, T*) [with D = int; T = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/where.cc:178:38: required from here 178 | reference_ops::SelectTrueCoords(GetTensorShape(cond_tensor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 179 | GetTensorData(cond_tensor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 180 | GetTensorData(output)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:782:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 782 | for (int i = 0; i < cond_rank; ++i) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:788:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 788 | for (int i = 0; i < size; ++i) { | ~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:792:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 792 | for (int j = 0; j < cond_rank; ++j) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h: In instantiation of ‘void tflite::reference_ops::SelectTrueCoords(const tflite::RuntimeShape&, const D*, T*) [with D = signed char; T = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/where.cc:183:38: required from here 183 | reference_ops::SelectTrueCoords(GetTensorShape(cond_tensor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | GetTensorData(cond_tensor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 185 | GetTensorData(output)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:782:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 782 | for (int i = 0; i < cond_rank; ++i) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:788:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 788 | for (int i = 0; i < size; ++i) { | ~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:792:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 792 | for (int j = 0; j < cond_rank; ++j) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h: In instantiation of ‘void tflite::reference_ops::SelectTrueCoords(const tflite::RuntimeShape&, const D*, T*) [with D = unsigned char; T = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/where.cc:188:38: required from here 188 | reference_ops::SelectTrueCoords(GetTensorShape(cond_tensor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 189 | GetTensorData(cond_tensor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 190 | GetTensorData(output)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:782:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 782 | for (int i = 0; i < cond_rank; ++i) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:788:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 788 | for (int i = 0; i < size; ++i) { | ~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:792:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 792 | for (int j = 0; j < cond_rank; ++j) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h: In instantiation of ‘void tflite::reference_ops::SelectTrueCoords(const tflite::RuntimeShape&, const D*, T*) [with D = unsigned int; T = long int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/where.cc:193:38: required from here 193 | reference_ops::SelectTrueCoords(GetTensorShape(cond_tensor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 194 | GetTensorData(cond_tensor), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 195 | GetTensorData(output)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:782:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 782 | for (int i = 0; i < cond_rank; ++i) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:788:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 788 | for (int i = 0; i < size; ++i) { | ~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/reference/reference_ops.h:792:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 792 | for (int j = 0; j < cond_rank; ++j) { | ~~^~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/while.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/while.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/while.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/while.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:24: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/zeros_like.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/zeros_like.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/zeros_like.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/zeros_like.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/zeros_like.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/context_util.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:21: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc: In function ‘TfLiteStatus tflite::ops::builtin::while_kernel::Prepare_impl(TfLiteContext*, TfLiteNode*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:85:56: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 85 | TF_LITE_ENSURE(context, op_data->cond_subgraph_index < subgraphs->size()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:86:56: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | TF_LITE_ENSURE(context, op_data->body_subgraph_index < subgraphs->size()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:225:11: note: in definition of macro ‘TF_LITE_ENSURE’ 225 | if (!(a)) { \ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:248:13: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 248 | if ((a) != (b)) { \ | ~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:94:3: note: in expansion of macro ‘TF_LITE_ENSURE_EQ’ 94 | TF_LITE_ENSURE_EQ(context, cond_subgraph->inputs().size(), num_inputs); | ^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:248:13: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 248 | if ((a) != (b)) { \ | ~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:98:3: note: in expansion of macro ‘TF_LITE_ENSURE_EQ’ 98 | TF_LITE_ENSURE_EQ(context, body_subgraph->inputs().size(), num_inputs); | ^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/c/common.h:248:13: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 248 | if ((a) != (b)) { \ | ~~~~^~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:99:3: note: in expansion of macro ‘TF_LITE_ENSURE_EQ’ 99 | TF_LITE_ENSURE_EQ(context, body_subgraph->outputs().size(), num_inputs); | ^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:25: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::CopyTensorsShapeAndType(TfLiteContext*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&, bool) [with SrcVector = tflite::TfLiteIntArrayView; DstVector = std::vector; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:106:3: required from here 107 | context, CopyTensorsShapeAndType( | ~~~~~~~~~~~~~~~~~~~~~~~^ 108 | context, this_subgraph, TfLiteIntArrayView(node->inputs), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | cond_subgraph, cond_subgraph->inputs(), true)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:46:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 46 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::DeepOrShallowCopyTensorsShapeTypeData(TfLiteContext*, TfLiteNode*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&) [with SrcVector = tflite::TfLiteIntArrayView; DstVector = std::vector; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:332:5: required from here 332 | TF_LITE_ENSURE_OK(context, DeepOrShallowCopyTensorsShapeTypeData( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 333 | context, node, this_subgraph, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | TfLiteIntArrayView(node->outputs), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 335 | body_subgraph, body_subgraph->inputs())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:122:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 122 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:141:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 141 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::CopyTensorsData(TfLiteContext*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&) [with SrcVector = tflite::TfLiteIntArrayView; DstVector = std::vector; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:401:3: required from here 403 | CopyTensorsData(context, this_subgraph, TfLiteIntArrayView(node->inputs), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 404 | cond_subgraph, cond_subgraph->inputs())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:77:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 77 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::CopyTensorsData(TfLiteContext*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&) [with SrcVector = tflite::TfLiteIntArrayView; DstVector = tflite::TfLiteIntArrayView; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:407:3: required from here 409 | CopyTensorsData(context, this_subgraph, TfLiteIntArrayView(node->inputs), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | this_subgraph, TfLiteIntArrayView(node->outputs))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:77:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 77 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::CopyTensorsData(TfLiteContext*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&) [with SrcVector = std::vector; DstVector = std::vector; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:440:5: required from here 442 | CopyTensorsData(context, body_subgraph, body_subgraph->outputs(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | cond_subgraph, cond_subgraph->inputs())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:77:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 77 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::CopyTensorsData(TfLiteContext*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&) [with SrcVector = std::vector; DstVector = tflite::TfLiteIntArrayView; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:444:5: required from here 446 | CopyTensorsData(context, body_subgraph, body_subgraph->outputs(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | this_subgraph, TfLiteIntArrayView(node->outputs))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:77:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 77 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/nnapi/nnapi_implementation_disabled.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/nnapi/nnapi_implementation_disabled.cc.o -MF CMakeFiles/tensorflow-lite.dir/nnapi/nnapi_implementation_disabled.cc.o.d -o CMakeFiles/tensorflow-lite.dir/nnapi/nnapi_implementation_disabled.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/nnapi/nnapi_implementation_disabled.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::CopyTensorsShapeAndType(TfLiteContext*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&, bool) [with SrcVector = tflite::TfLiteIntArrayView; DstVector = tflite::TfLiteIntArrayView; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:102:5: required from ‘TfLiteStatus tflite::ops::builtin::DeepCopyTensorsShapeTypeData(TfLiteContext*, TfLiteNode*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&, bool) [with SrcVector = tflite::TfLiteIntArrayView; DstVector = tflite::TfLiteIntArrayView; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 103 | context, CopyTensorsShapeAndType( /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:311:3: required from here 313 | DeepCopyTensorsShapeTypeData( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 314 | context, node, this_subgraph, TfLiteIntArrayView(node->inputs), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 315 | this_subgraph, TfLiteIntArrayView(node->outputs), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 316 | op_data->body_has_dynamic_output_tensors)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:46:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 46 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::CopyTensorsShapeAndType(TfLiteContext*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&, bool) [with SrcVector = std::vector; DstVector = std::vector; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:102:5: required from ‘TfLiteStatus tflite::ops::builtin::DeepCopyTensorsShapeTypeData(TfLiteContext*, TfLiteNode*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&, bool) [with SrcVector = std::vector; DstVector = std::vector; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 103 | context, CopyTensorsShapeAndType( /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:344:5: required from here 345 | context, DeepCopyTensorsShapeTypeData( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 346 | context, node, body_subgraph, body_subgraph->outputs(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | cond_subgraph, cond_subgraph->inputs(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 348 | op_data->body_has_dynamic_output_tensors)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:46:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 46 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h: In instantiation of ‘TfLiteStatus tflite::ops::builtin::CopyTensorsShapeAndType(TfLiteContext*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&, bool) [with SrcVector = std::vector; DstVector = tflite::TfLiteIntArrayView; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:102:5: required from ‘TfLiteStatus tflite::ops::builtin::DeepCopyTensorsShapeTypeData(TfLiteContext*, TfLiteNode*, tflite::Subgraph*, const SrcVector&, tflite::Subgraph*, const DstVector&, bool) [with SrcVector = std::vector; DstVector = tflite::TfLiteIntArrayView; TfLiteStatus = TfLiteStatus; TfLiteContext = TfLiteContext; TfLiteNode = TfLiteNode]’ 103 | context, CopyTensorsShapeAndType( /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/while.cc:351:5: required from here 352 | context, DeepCopyTensorsShapeTypeData( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 353 | context, node, body_subgraph, body_subgraph->outputs(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 354 | this_subgraph, TfLiteIntArrayView(node->outputs), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 355 | op_data->body_has_dynamic_output_tensors)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/control_flow_common.h:46:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 46 | for (int i = 0; i < src_tensor_indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/allocation.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/allocation.cc.o -MF CMakeFiles/tensorflow-lite.dir/allocation.cc.o.d -o CMakeFiles/tensorflow-lite.dir/allocation.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/allocation.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/allocation.cc: In constructor ‘tflite::FileCopyAllocation::FileCopyAllocation(const char*, tflite::ErrorReporter*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/allocation.cc:35:42: warning: ignoring attributes on template argument ‘int (*)(FILE*)’ [-Wignored-attributes] 35 | std::unique_ptr file(fopen(filename, "rb"), fclose); | ^ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/arena_planner.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/arena_planner.cc.o -MF CMakeFiles/tensorflow-lite.dir/arena_planner.cc.o.d -o CMakeFiles/tensorflow-lite.dir/arena_planner.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/arena_planner.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/arena_planner.h:26, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/arena_planner.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/arena_planner.cc: In member function ‘virtual TfLiteStatus tflite::ArenaPlanner::PlanAllocations()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/arena_planner.cc:276:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 276 | for (size_t i = 0; i < num_execution_nodes; ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/arena_planner.cc:290:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 290 | for (size_t i = 0; i < num_execution_nodes; ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/arena_planner.cc:303:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 303 | for (size_t i = 0; i < num_execution_nodes; ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/arena_planner.cc: In member function ‘virtual TfLiteStatus tflite::ArenaPlanner::ExecuteAllocations(int, int)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/arena_planner.cc:350:49: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 350 | i <= static_cast(last_node) && i < num_execution_nodes; ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/array.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/array.cc.o -MF CMakeFiles/tensorflow-lite.dir/array.cc.o.d -o CMakeFiles/tensorflow-lite.dir/array.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/array.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/external_cpu_backend_context.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/external_cpu_backend_context.cc.o -MF CMakeFiles/tensorflow-lite.dir/external_cpu_backend_context.cc.o.d -o CMakeFiles/tensorflow-lite.dir/external_cpu_backend_context.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/external_cpu_backend_context.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/graph_info.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/graph_info.cc.o -MF CMakeFiles/tensorflow-lite.dir/graph_info.cc.o.d -o CMakeFiles/tensorflow-lite.dir/graph_info.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.cc: In member function ‘void tflite::{anonymous}::PartitionGraphIntoIndependentNodeSubsetsImpl::Partition()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.cc:78:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 78 | for (int node_index = 0; node_index < info_->num_execution_nodes(); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.cc: In member function ‘void tflite::{anonymous}::PartitionGraphIntoIndependentNodeSubsetsImpl::BuildNodeSubset()’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.cc:216:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 216 | for (int node_index = 0; node_index < info_->num_execution_nodes(); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.cc: In function ‘TfLiteStatus tflite::PartitionGraphIntoIndependentNodeSubsets(const GraphInfo*, const TfLiteIntArray*, std::vector*, bool, const ControlEdges*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.cc:275:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 275 | node_index < info->num_execution_nodes(); ++node_index) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/logger.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include 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-grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/minimal_logging.cc.o -MF CMakeFiles/tensorflow-lite.dir/minimal_logging.cc.o.d -o CMakeFiles/tensorflow-lite.dir/minimal_logging.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/minimal_logging.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/mmap_allocation.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/mmap_allocation.cc.o -MF CMakeFiles/tensorflow-lite.dir/mmap_allocation.cc.o.d -o CMakeFiles/tensorflow-lite.dir/mmap_allocation.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/mmap_allocation.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/mutable_op_resolver.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes 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-I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/mutable_op_resolver_utils.cc.o -MF CMakeFiles/tensorflow-lite.dir/mutable_op_resolver_utils.cc.o.d -o CMakeFiles/tensorflow-lite.dir/mutable_op_resolver_utils.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/mutable_op_resolver_utils.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/optional_debug_tools.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/optional_debug_tools.cc.o -MF CMakeFiles/tensorflow-lite.dir/optional_debug_tools.cc.o.d -o CMakeFiles/tensorflow-lite.dir/optional_debug_tools.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/optional_debug_tools.cc In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/subgraph.h:41, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_subgraph.h:27, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/async/async_signature_runner.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/core/interpreter.h:45, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/optional_debug_tools.h:22, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/optional_debug_tools.cc:15: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/simple_memory_arena.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/simple_memory_arena.cc.o -MF CMakeFiles/tensorflow-lite.dir/simple_memory_arena.cc.o.d -o CMakeFiles/tensorflow-lite.dir/simple_memory_arena.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_memory_arena.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_memory_arena.cc: In member function ‘void tflite::SimpleMemoryArena::PurgeAfter(int32_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_memory_arena.cc:191:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 191 | for (int i = 0; i < active_allocs_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_memory_arena.cc: In member function ‘void tflite::SimpleMemoryArena::PurgeActiveAllocs(int32_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_memory_arena.cc:206:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 206 | for (int i = 0; i < active_allocs_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_memory_arena.cc: In member function ‘void tflite::SimpleMemoryArena::CalculateActiveAllocs(const std::vector&, int32_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_memory_arena.cc:223:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 223 | for (int i = 0; i < allocs.size(); ++i) { | ~~^~~~~~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/simple_memory_arena_debug_dump.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/simple_memory_arena_debug_dump.cc.o -MF CMakeFiles/tensorflow-lite.dir/simple_memory_arena_debug_dump.cc.o.d -o CMakeFiles/tensorflow-lite.dir/simple_memory_arena_debug_dump.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_memory_arena_debug_dump.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_memory_arena_debug_dump.cc: In function ‘void tflite::{anonymous}::PrintIntVector(const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_memory_arena_debug_dump.cc:49:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 49 | for (int i = 1; i < v.size(); ++i) { | ~~^~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_memory_arena_debug_dump.cc: In function ‘void tflite::DumpArenaInfo(const std::string&, const std::vector&, size_t, const std::vector&)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_memory_arena_debug_dump.cc:172:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 172 | for (int i = 0; i < execution_plan.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/simple_planner.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/simple_planner.cc.o -MF CMakeFiles/tensorflow-lite.dir/simple_planner.cc.o.d -o CMakeFiles/tensorflow-lite.dir/simple_planner.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_planner.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/optional_debug_tools.cc: In member function ‘void tflite::{anonymous}::MemoryArenaInfo::Print() const’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/optional_debug_tools.cc:114:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 114 | for (int i = 0; i < arena_increase_trace.size() - 1; ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/optional_debug_tools.cc: In function ‘void tflite::{anonymous}::PrintIntVector(const std::vector&, bool, bool)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/optional_debug_tools.cc:280:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 280 | for (int i = 1; i < v.size(); ++i) { | ~~^~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/optional_debug_tools.cc: In function ‘std::string tflite::{anonymous}::TruncateString(const char*, int, bool)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/optional_debug_tools.cc:381:14: warning: comparison of integer expressions of different signedness: ‘const size_t’ {aka ‘const long unsigned int’} and ‘int’ [-Wsign-compare] 381 | if (length <= size_limit) return truncated; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/optional_debug_tools.cc: In function ‘void tflite::PrintInterpreterState(const Interpreter*, int32_t, int32_t, int32_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/optional_debug_tools.cc:407:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 407 | for (int i = 0; i < num_subgraphs; ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/optional_debug_tools.cc:593:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 593 | for (int i = 0; i < num_subgraphs; ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/optional_debug_tools.cc:622:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 622 | for (int i = 0; i < num_subgraphs; ++i) { | ~~^~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_planner.h:24, from /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/simple_planner.cc:16: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:125:1: warning: multi-line comment [-Wcomment] 125 | // /------------\ | ^ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/graph_info.h:137:1: warning: multi-line comment [-Wcomment] 137 | // /------------\ | ^ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/stderr_reporter.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 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-c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/stderr_reporter.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/string_util.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task 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-Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/util.cc.o -MF CMakeFiles/tensorflow-lite.dir/util.cc.o.d -o CMakeFiles/tensorflow-lite.dir/util.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/util.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/minimal_logging_default.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/minimal_logging_default.cc.o -MF CMakeFiles/tensorflow-lite.dir/minimal_logging_default.cc.o.d -o CMakeFiles/tensorflow-lite.dir/minimal_logging_default.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/minimal_logging_default.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/minimal_logging_default.cc:37: warning: ignoring ‘#pragma clang diagnostic’ [-Wunknown-pragmas] 37 | #pragma clang diagnostic push /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/minimal_logging_default.cc:38: warning: ignoring ‘#pragma clang diagnostic’ [-Wunknown-pragmas] 38 | #pragma clang diagnostic ignored "-Wformat-nonliteral" /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/minimal_logging_default.cc:40: warning: ignoring ‘#pragma clang diagnostic’ [-Wunknown-pragmas] 40 | #pragma clang diagnostic pop [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/profiling/platform_profiler.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/profiling/platform_profiler.cc.o -MF CMakeFiles/tensorflow-lite.dir/profiling/platform_profiler.cc.o.d -o CMakeFiles/tensorflow-lite.dir/profiling/platform_profiler.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/profiling/platform_profiler.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/profiling/root_profiler.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/profiling/root_profiler.cc.o -MF CMakeFiles/tensorflow-lite.dir/profiling/root_profiler.cc.o.d -o CMakeFiles/tensorflow-lite.dir/profiling/root_profiler.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/profiling/root_profiler.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/profiling/root_profiler.cc: In member function ‘virtual void tflite::profiling::RootProfiler::EndEvent(uint32_t, int64_t, int64_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/profiling/root_profiler.cc:63:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 63 | for (auto idx = 0; idx < event_ids.size(); idx++) { | ~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/profiling/root_profiler.cc: In member function ‘virtual void tflite::profiling::RootProfiler::EndEvent(uint32_t)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/profiling/root_profiler.cc:78:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 78 | for (auto idx = 0; idx < event_ids.size(); idx++) { | ~~~~^~~~~~~~~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/profiling/telemetry/profiler.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/profiling/telemetry/profiler.cc.o -MF CMakeFiles/tensorflow-lite.dir/profiling/telemetry/profiler.cc.o.d -o CMakeFiles/tensorflow-lite.dir/profiling/telemetry/profiler.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/profiling/telemetry/profiler.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/util.cc: In function ‘TfLiteStatus tflite::BytesRequired(TfLiteType, const int*, size_t, size_t*, TfLiteContext*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/util.cc:200:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 200 | for (int k = 0; k < dims_size; k++) { | ~~^~~~~~~~~~~ [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/profiling/telemetry/telemetry.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/profiling/telemetry/telemetry.cc.o -MF CMakeFiles/tensorflow-lite.dir/profiling/telemetry/telemetry.cc.o.d -o CMakeFiles/tensorflow-lite.dir/profiling/telemetry/telemetry.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/profiling/telemetry/telemetry.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/profiling/telemetry/c/telemetry_setting_internal.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/profiling/telemetry/c/telemetry_setting_internal.cc.o -MF CMakeFiles/tensorflow-lite.dir/profiling/telemetry/c/telemetry_setting_internal.cc.o.d -o CMakeFiles/tensorflow-lite.dir/profiling/telemetry/c/telemetry_setting_internal.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/profiling/telemetry/c/telemetry_setting_internal.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/internal/utils/sparsity_format_converter.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/kernels/internal/utils/sparsity_format_converter.cc.o -MF CMakeFiles/tensorflow-lite.dir/kernels/internal/utils/sparsity_format_converter.cc.o.d -o CMakeFiles/tensorflow-lite.dir/kernels/internal/utils/sparsity_format_converter.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc [100%] Building CXX object CMakeFiles/tensorflow-lite.dir/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/compiler/mlir/lite/schema/schema_utils.cc.o /usr/bin/g++ -DCPUINFO_SUPPORTED_PLATFORM=1 -DNOMINMAX=1 -DPTHREADPOOL_NO_DEPRECATED_API=1 -Dtensorflow_lite_EXPORTS -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla/third_party/tsl -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/third_party/xla -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/vulkan_headers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/opengl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/egl_headers/api -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/delegates/gpu/common/task -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/pthreadpool-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/FP16-source/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/xnnpack/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/cpuinfo-source -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 -I/usr/include/eigen3 -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/farmhash/src -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/flatbuffers/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/gemmlowp -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ml_dtypes/ml_dtypes -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/ruy/third_party/cpuinfo/include -I/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build/neon2sse -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -DNDEBUG -std=gnu++17 -fPIC -DEIGEN_NEON_GEBP_NR=4 -DCL_DELEGATE_NO_GL -DEGL_NO_X11 -DTFLITE_BUILD_WITH_XNNPACK_DELEGATE -DXNNPACK_DELEGATE_ENABLE_QS8 -DXNNPACK_DELEGATE_ENABLE_QU8 -DXNNPACK_DELEGATE_USE_LATEST_OPS -DXNNPACK_DELEGATE_ENABLE_SUBGRAPH_RESHAPING -pthread -MD -MT CMakeFiles/tensorflow-lite.dir/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/compiler/mlir/lite/schema/schema_utils.cc.o -MF CMakeFiles/tensorflow-lite.dir/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/compiler/mlir/lite/schema/schema_utils.cc.o.d -o CMakeFiles/tensorflow-lite.dir/builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/compiler/mlir/lite/schema/schema_utils.cc.o -c /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/compiler/mlir/lite/schema/schema_utils.cc /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In function ‘std::vector tflite::internal::sparsity::{anonymous}::TfLiteIntArrayToVector(const TfLiteIntArray*)’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:45:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 45 | for (size_t i = 0; i < int_array->size; i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘tflite::internal::sparsity::FormatConverter::FormatConverter(const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&) [with T = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:390:16: required from here 390 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:67:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 67 | for (int i = 0; i < shape.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:70:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 70 | if (block_dim < block_map.size() && block_map[block_dim] == i) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:79:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 79 | for (int i = 0; i < block_map.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘TfLiteStatus tflite::internal::sparsity::FormatConverter::SparseToDense(const T*, size_t, T*, TfLiteContext*) [with T = int; TfLiteStatus = TfLiteStatus; size_t = long unsigned int; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:390:16: required from here 390 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:373:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 373 | for (auto i = 0; i < dest_size; i++) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘void tflite::internal::sparsity::FormatConverter::InitSparseToDenseConverter(std::vector, std::vector, std::vector, std::vector, std::vector >, std::vector >, std::vector) [with T = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:390:16: required from here 390 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:265:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 265 | for (int i = 0; i < dense_shape_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:270:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 270 | for (int i = 0; i < format_.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:285:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 285 | if (block_dim < block_map_.size() && block_map_[block_dim] == i) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:286:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 286 | if (original_rank + block_dim < traversal_order_.size()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘void tflite::internal::sparsity::FormatConverter::Populate(const T*, std::vector, int, int, int*, T*) [with T = int]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:390:16: required from here 390 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:302:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 302 | if (level == indices.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:307:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 307 | for (; i < orig_idx.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:312:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 312 | for (; i < indices.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:334:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 334 | } else if (prev_idx + 1 < dim_metadata_[metadata_idx].size()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:339:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 339 | if (i < array_indices.size() && level < indices.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:339:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 339 | if (i < array_indices.size() && level < indices.size()) { | ~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘tflite::internal::sparsity::FormatConverter::FormatConverter(const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&) [with T = signed char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:391:16: required from here 391 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:67:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 67 | for (int i = 0; i < shape.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:70:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 70 | if (block_dim < block_map.size() && block_map[block_dim] == i) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:79:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 79 | for (int i = 0; i < block_map.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘TfLiteStatus tflite::internal::sparsity::FormatConverter::SparseToDense(const T*, size_t, T*, TfLiteContext*) [with T = signed char; TfLiteStatus = TfLiteStatus; size_t = long unsigned int; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:391:16: required from here 391 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:373:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 373 | for (auto i = 0; i < dest_size; i++) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘void tflite::internal::sparsity::FormatConverter::InitSparseToDenseConverter(std::vector, std::vector, std::vector, std::vector, std::vector >, std::vector >, std::vector) [with T = signed char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:391:16: required from here 391 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:265:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 265 | for (int i = 0; i < dense_shape_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:270:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 270 | for (int i = 0; i < format_.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:285:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 285 | if (block_dim < block_map_.size() && block_map_[block_dim] == i) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:286:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 286 | if (original_rank + block_dim < traversal_order_.size()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘void tflite::internal::sparsity::FormatConverter::Populate(const T*, std::vector, int, int, int*, T*) [with T = signed char]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:391:16: required from here 391 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:302:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 302 | if (level == indices.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:307:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 307 | for (; i < orig_idx.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:312:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 312 | for (; i < indices.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:334:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 334 | } else if (prev_idx + 1 < dim_metadata_[metadata_idx].size()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:339:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 339 | if (i < array_indices.size() && level < indices.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:339:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 339 | if (i < array_indices.size() && level < indices.size()) { | ~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘tflite::internal::sparsity::FormatConverter::FormatConverter(const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&) [with T = float]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:392:16: required from here 392 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:67:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 67 | for (int i = 0; i < shape.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:70:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 70 | if (block_dim < block_map.size() && block_map[block_dim] == i) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:79:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 79 | for (int i = 0; i < block_map.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘TfLiteStatus tflite::internal::sparsity::FormatConverter::SparseToDense(const T*, size_t, T*, TfLiteContext*) [with T = float; TfLiteStatus = TfLiteStatus; size_t = long unsigned int; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:392:16: required from here 392 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:373:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 373 | for (auto i = 0; i < dest_size; i++) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘void tflite::internal::sparsity::FormatConverter::InitSparseToDenseConverter(std::vector, std::vector, std::vector, std::vector, std::vector >, std::vector >, std::vector) [with T = float]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:392:16: required from here 392 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:265:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 265 | for (int i = 0; i < dense_shape_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:270:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 270 | for (int i = 0; i < format_.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:285:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 285 | if (block_dim < block_map_.size() && block_map_[block_dim] == i) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:286:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 286 | if (original_rank + block_dim < traversal_order_.size()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘void tflite::internal::sparsity::FormatConverter::Populate(const T*, std::vector, int, int, int*, T*) [with T = float]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:392:16: required from here 392 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:302:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 302 | if (level == indices.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:307:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 307 | for (; i < orig_idx.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:312:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 312 | for (; i < indices.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:334:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 334 | } else if (prev_idx + 1 < dim_metadata_[metadata_idx].size()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:339:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 339 | if (i < array_indices.size() && level < indices.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:339:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 339 | if (i < array_indices.size() && level < indices.size()) { | ~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘tflite::internal::sparsity::FormatConverter::FormatConverter(const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&) [with T = Eigen::half]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:393:16: required from here 393 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:67:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 67 | for (int i = 0; i < shape.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:70:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 70 | if (block_dim < block_map.size() && block_map[block_dim] == i) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:79:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 79 | for (int i = 0; i < block_map.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘TfLiteStatus tflite::internal::sparsity::FormatConverter::SparseToDense(const T*, size_t, T*, TfLiteContext*) [with T = Eigen::half; TfLiteStatus = TfLiteStatus; size_t = long unsigned int; TfLiteContext = TfLiteContext]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:393:16: required from here 393 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:373:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 373 | for (auto i = 0; i < dest_size; i++) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘void tflite::internal::sparsity::FormatConverter::InitSparseToDenseConverter(std::vector, std::vector, std::vector, std::vector, std::vector >, std::vector >, std::vector) [with T = Eigen::half]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:393:16: required from here 393 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:265:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 265 | for (int i = 0; i < dense_shape_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:270:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 270 | for (int i = 0; i < format_.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:285:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 285 | if (block_dim < block_map_.size() && block_map_[block_dim] == i) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:286:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 286 | if (original_rank + block_dim < traversal_order_.size()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc: In instantiation of ‘void tflite::internal::sparsity::FormatConverter::Populate(const T*, std::vector, int, int, int*, T*) [with T = Eigen::half]’: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:393:16: required from here 393 | template class FormatConverter; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:302:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 302 | if (level == indices.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:307:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 307 | for (; i < orig_idx.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:312:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 312 | for (; i < indices.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:334:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 334 | } else if (prev_idx + 1 < dim_metadata_[metadata_idx].size()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:339:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 339 | if (i < array_indices.size() && level < indices.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/kernels/internal/utils/sparsity_format_converter.cc:339:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 339 | if (i < array_indices.size() && level < indices.size()) { | ~~~~~~^~~~~~~~~~~~~~~~ [100%] Linking CXX shared library libtensorflow-lite.so /usr/bin/cmake -E cmake_link_script CMakeFiles/tensorflow-lite.dir/link.txt --verbose=1 /usr/bin/g++ -fPIC -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall 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/var/tmp/rpm-tmp.7KG7dK + umask 022 + cd /builddir/build/BUILD/litert-2.17.0-build + '[' /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT ++ dirname /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT + mkdir -p /builddir/build/BUILD/litert-2.17.0-build + mkdir /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd tensorflow-2.17.0 + install -d /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/include/tensorflow/lite + install tensorflow/lite/allocation.h tensorflow/lite/arena_planner.h tensorflow/lite/array.h tensorflow/lite/builtin_op_data.h tensorflow/lite/builtin_ops.h tensorflow/lite/context.h tensorflow/lite/context_util.h tensorflow/lite/create_op_resolver.h tensorflow/lite/error_reporter.h tensorflow/lite/external_cpu_backend_context.h tensorflow/lite/graph_info.h tensorflow/lite/interpreter.h tensorflow/lite/interpreter_builder.h tensorflow/lite/interpreter_options.h tensorflow/lite/interpreter_test_util.h tensorflow/lite/logger.h tensorflow/lite/memory_planner.h tensorflow/lite/minimal_logging.h tensorflow/lite/model.h tensorflow/lite/model_builder.h tensorflow/lite/mutable_op_resolver.h tensorflow/lite/mutable_op_resolver_utils.h tensorflow/lite/namespace.h tensorflow/lite/op_resolver.h tensorflow/lite/optional_debug_tools.h tensorflow/lite/portable_type_to_tflitetype.h tensorflow/lite/shared_library.h tensorflow/lite/signature_runner.h tensorflow/lite/simple_memory_arena.h tensorflow/lite/simple_planner.h tensorflow/lite/stateful_error_reporter.h tensorflow/lite/stderr_reporter.h tensorflow/lite/string_type.h tensorflow/lite/string_util.h tensorflow/lite/tensorflow_profiler_logger.h tensorflow/lite/test_util.h tensorflow/lite/tflite_with_xnnpack_optional.h tensorflow/lite/type_to_tflitetype.h tensorflow/lite/util.h tensorflow/lite/version.h /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/include/tensorflow/lite + install -d /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/include/tensorflow/lite/c + install tensorflow/lite/c/common.h tensorflow/lite/c/builtin_op_data.h tensorflow/lite/c/c_api.h tensorflow/lite/c/c_api_experimental.h tensorflow/lite/c/c_api_types.h /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/include/tensorflow/lite/c + install -d /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/include/tensorflow/lite/core/async/c + install tensorflow/lite/core/async/c/async_kernel.h tensorflow/lite/core/async/c/async_signature_runner.h tensorflow/lite/core/async/c/internal.h tensorflow/lite/core/async/c/task.h tensorflow/lite/core/async/c/types.h /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/include/tensorflow/lite/core/async/c + install -d /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/include/tensorflow/lite/core/c + install tensorflow/lite/core/c/builtin_op_data.h tensorflow/lite/core/c/c_api.h tensorflow/lite/core/c/c_api_experimental.h tensorflow/lite/core/c/c_api_opaque.h tensorflow/lite/core/c/c_api_types.h tensorflow/lite/core/c/common.h tensorflow/lite/core/c/operator.h /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/include/tensorflow/lite/core/c + install -d /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/include/tensorflow/lite/delegates/external + install tensorflow/lite/delegates/external/external_delegate.h tensorflow/lite/delegates/external/external_delegate_interface.h /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/include/tensorflow/lite/delegates/external + install -d /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/include/tensorflow/lite/delegates/gpu + install tensorflow/lite/delegates/gpu/delegate.h tensorflow/lite/delegates/gpu/delegate_options.h tensorflow/lite/delegates/gpu/gl_delegate.h tensorflow/lite/delegates/gpu/metal_delegate.h /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/include/tensorflow/lite/delegates/gpu + install -d /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/include/tensorflow/lite/delegates/xnnpack + install tensorflow/lite/delegates/xnnpack/xnnpack_delegate.h /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/include/tensorflow/lite/delegates/xnnpack + install -d /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/libexec/litert + install redhat-linux-build/_deps/farmhash-build/libfarmhash.so /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/libexec/litert + install redhat-linux-build/_deps/fft2d-build/libfft2d_fftsg2d.so /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/libexec/litert + install redhat-linux-build/_deps/fft2d-build/libfft2d_fftsg.so /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/libexec/litert + install redhat-linux-build/_deps/xnnpack-build/libXNNPACK.so /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/libexec/litert + install redhat-linux-build/pthreadpool/libpthreadpool.so /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/libexec/litert + install redhat-linux-build/_deps/ruy-build/third_party/cpuinfo/libcpuinfo.so /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/libexec/litert + install -d /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/lib64/pkgconfig + install redhat-linux-build/libtensorflow-lite.so /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/lib64/libtensorflow-lite.so.2.17.0 + ln -s libtensorflow-lite.so.2.17.0 /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/lib64/libtensorflow-lite.so + install /builddir/build/SOURCES/litert.pc /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/lib64/pkgconfig + patchelf --set-rpath /usr/libexec/litert /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/lib64/libtensorflow-lite.so /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/libexec/litert/libfft2d_fftsg2d.so /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT//usr/libexec/litert/libXNNPACK.so + /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 2.17.0-1.fc42 --unique-debug-suffix -2.17.0-1.fc42.x86_64 --unique-debug-src-base litert-2.17.0-1.fc42.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0 find-debuginfo: starting Extracting debug info from 7 files DWARF-compressing 7 files sepdebugcrcfix: Updated 7 CRC32s, 0 CRC32s did match. Creating .debug symlinks for symlinks to ELF files Copying sources found by 'debugedit -l' to /usr/src/debug/litert-2.17.0-1.fc42.x86_64 50420 blocks find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/check-rpaths + /usr/lib/rpm/redhat/brp-mangle-shebangs *** WARNING: ./usr/include/tensorflow/lite/allocation.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/arena_planner.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/array.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/builtin_op_data.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/builtin_ops.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/context.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/context_util.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/create_op_resolver.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/error_reporter.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/external_cpu_backend_context.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/graph_info.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/interpreter.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/interpreter_builder.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/interpreter_options.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/interpreter_test_util.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/logger.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/memory_planner.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/minimal_logging.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/model.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/model_builder.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/mutable_op_resolver.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/mutable_op_resolver_utils.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/namespace.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/op_resolver.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/optional_debug_tools.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/portable_type_to_tflitetype.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/shared_library.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/signature_runner.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/simple_memory_arena.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/simple_planner.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/stateful_error_reporter.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/stderr_reporter.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/string_type.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/string_util.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/tensorflow_profiler_logger.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/test_util.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/tflite_with_xnnpack_optional.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/type_to_tflitetype.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/util.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/version.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/c/common.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/c/builtin_op_data.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/c/c_api.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/c/c_api_experimental.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/c/c_api_types.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/core/async/c/async_kernel.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/core/async/c/async_signature_runner.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/core/async/c/internal.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/core/async/c/task.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/core/async/c/types.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/core/c/builtin_op_data.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/core/c/c_api.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/core/c/c_api_experimental.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/core/c/c_api_opaque.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/core/c/c_api_types.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/core/c/common.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/core/c/operator.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/delegates/external/external_delegate.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/delegates/external/external_delegate_interface.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/delegates/gpu/delegate.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/delegates/gpu/delegate_options.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/delegates/gpu/gl_delegate.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/delegates/gpu/metal_delegate.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/include/tensorflow/lite/delegates/xnnpack/xnnpack_delegate.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/lib64/pkgconfig/litert.pc is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/litert-2.17.0-1.fc42.x86_64/tensorflow/compiler/mlir/lite/schema/schema_generated.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/litert-2.17.0-1.fc42.x86_64/tensorflow/lite/delegates/gpu/cl/compiled_program_cache_generated.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/litert-2.17.0-1.fc42.x86_64/tensorflow/lite/delegates/gpu/cl/serialization_generated.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/litert-2.17.0-1.fc42.x86_64/tensorflow/lite/delegates/gpu/common/gpu_model_generated.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/litert-2.17.0-1.fc42.x86_64/tensorflow/lite/delegates/gpu/common/task/serialization_base_generated.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/litert-2.17.0-1.fc42.x86_64/tensorflow/lite/delegates/xnnpack/weight_cache_schema_generated.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/litert-2.17.0-1.fc42.x86_64/tensorflow/lite/schema/conversion_metadata_generated.h is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/litert-2.17.0-1.fc42.x86_64/tensorflow/lite/schema/schema_generated.h is executable but has no shebang, removing executable bit + /usr/lib/rpm/brp-remove-la-files + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2 + /usr/lib/rpm/redhat/brp-python-hardlink + /usr/bin/add-determinism --brp -j2 /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT Scanned 172 directories and 1255 files, processed 0 inodes, 0 modified (0 replaced + 0 rewritten), 0 unsupported format, 0 errors Reading /builddir/build/BUILD/litert-2.17.0-build/SPECPARTS/rpm-debuginfo.specpart Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.SH5sOo + umask 022 + cd /builddir/build/BUILD/litert-2.17.0-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd tensorflow-2.17.0 + /usr/bin/ctest --test-dir redhat-linux-build --output-on-failure --force-new-ctest-process -j2 Internal ctest changing into directory: /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build Test project /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/redhat-linux-build No tests were found!!! + RPM_EC=0 ++ jobs -p + exit 0 Processing files: litert-2.17.0-1.fc42.x86_64 Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.yVnd8M + umask 022 + cd /builddir/build/BUILD/litert-2.17.0-build + cd tensorflow-2.17.0 + LICENSEDIR=/builddir/build/BUILD/litert-2.17.0-build/BUILDROOT/usr/share/licenses/litert + export LC_ALL=C.UTF-8 + LC_ALL=C.UTF-8 + export LICENSEDIR + /usr/bin/mkdir -p /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT/usr/share/licenses/litert + cp -pr /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/LICENSE /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT/usr/share/licenses/litert + RPM_EC=0 ++ jobs -p + exit 0 Provides: libXNNPACK.so()(64bit) libcpuinfo.so()(64bit) libfarmhash.so()(64bit) libfft2d_fftsg.so()(64bit) libfft2d_fftsg2d.so()(64bit) libpthreadpool.so()(64bit) libtensorflow-lite.so()(64bit) litert = 2.17.0-1.fc42 litert(x86-64) = 2.17.0-1.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libXNNPACK.so()(64bit) libabsl_hash.so.2407.0.0()(64bit) libabsl_raw_hash_set.so.2407.0.0()(64bit) libabsl_status.so.2407.0.0()(64bit) libabsl_str_format_internal.so.2407.0.0()(64bit) libabsl_strings.so.2407.0.0()(64bit) libabsl_synchronization.so.2407.0.0()(64bit) libabsl_throw_delegate.so.2407.0.0()(64bit) libabsl_time.so.2407.0.0()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.16)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.33)(64bit) libc.so.6(GLIBC_2.34)(64bit) libc.so.6(GLIBC_2.38)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_2.7)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libcpuinfo.so()(64bit) libfarmhash.so()(64bit) libfft2d_fftsg.so()(64bit) libfft2d_fftsg2d.so()(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libm.so.6(GLIBC_2.38)(64bit) libpthreadpool.so()(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.5)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.18)(64bit) libstdc++.so.6(GLIBCXX_3.4.19)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.22)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: litert-devel-2.17.0-1.fc42.x86_64 Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.egmsJQ + umask 022 + cd /builddir/build/BUILD/litert-2.17.0-build + cd tensorflow-2.17.0 + DOCDIR=/builddir/build/BUILD/litert-2.17.0-build/BUILDROOT/usr/share/doc/litert-devel + export LC_ALL=C.UTF-8 + LC_ALL=C.UTF-8 + export DOCDIR + /usr/bin/mkdir -p /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT/usr/share/doc/litert-devel + cp -pr /builddir/build/BUILD/litert-2.17.0-build/tensorflow-2.17.0/tensorflow/lite/c/README.md /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT/usr/share/doc/litert-devel + RPM_EC=0 ++ jobs -p + exit 0 Provides: litert-devel = 2.17.0-1.fc42 litert-devel(x86-64) = 2.17.0-1.fc42 pkgconfig(litert) = 2.17.0 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: /usr/bin/pkg-config libtensorflow-lite.so()(64bit) Processing files: litert-debugsource-2.17.0-1.fc42.x86_64 Provides: litert-debugsource = 2.17.0-1.fc42 litert-debugsource(x86-64) = 2.17.0-1.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: litert-debuginfo-2.17.0-1.fc42.x86_64 Provides: debuginfo(build-id) = 06fdc8f7ac104e18059189a68ff1aefa229ebfcb debuginfo(build-id) = 26cb36f0c1999664ee1b873aeea71a841ebc0865 debuginfo(build-id) = 52e4c1155f3ec9fd837839d9e31367cec9fd4d27 debuginfo(build-id) = 65ded641d850481c95ea21dc5a787c279b5efdb4 debuginfo(build-id) = ae08f1096b719b233d28208c277586a16ca27341 debuginfo(build-id) = dd2fb5fb89d33e99d7da64719a0501df2eb4c44b debuginfo(build-id) = fc3ec5ceaa7f20aefb02ea865d54fbf1fa59b860 libXNNPACK.so-2.17.0-1.fc42.x86_64.debug()(64bit) libcpuinfo.so-2.17.0-1.fc42.x86_64.debug()(64bit) libfarmhash.so-2.17.0-1.fc42.x86_64.debug()(64bit) libfft2d_fftsg.so-2.17.0-1.fc42.x86_64.debug()(64bit) libfft2d_fftsg2d.so-2.17.0-1.fc42.x86_64.debug()(64bit) libpthreadpool.so-2.17.0-1.fc42.x86_64.debug()(64bit) libtensorflow-lite.so.2.17.0-2.17.0-1.fc42.x86_64.debug()(64bit) litert-debuginfo = 2.17.0-1.fc42 litert-debuginfo(x86-64) = 2.17.0-1.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: litert-debugsource(x86-64) = 2.17.0-1.fc42 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/litert-2.17.0-build/BUILDROOT Wrote: /builddir/build/RPMS/litert-debugsource-2.17.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/litert-2.17.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/litert-devel-2.17.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/litert-debuginfo-2.17.0-1.fc42.x86_64.rpm Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.Vl4An3 + umask 022 + cd /builddir/build/BUILD/litert-2.17.0-build + test -d /builddir/build/BUILD/litert-2.17.0-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/litert-2.17.0-build + rm -rf /builddir/build/BUILD/litert-2.17.0-build + RPM_EC=0 ++ jobs -p + exit 0 Finish: rpmbuild litert-2.17.0-1.fc42.src.rpm Finish: build phase for litert-2.17.0-1.fc42.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-rawhide-x86_64-1729849887.521630/root/var/log/dnf5.log INFO: Done(/var/lib/copr-rpmbuild/results/litert-2.17.0-1.fc42.src.rpm) Config(child) 40 minutes 29 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "litert", "epoch": null, "version": "2.17.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "litert", "epoch": null, "version": "2.17.0", "release": "1.fc42", "arch": "src" }, { "name": "litert-devel", "epoch": null, "version": "2.17.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "litert-debugsource", "epoch": null, "version": "2.17.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "litert-debuginfo", "epoch": null, "version": "2.17.0", "release": "1.fc42", "arch": "x86_64" } ] } RPMResults finished